# Distribution Fitting with Calibrating Priors for Commonly Used Distributions

## Documentation for package ‘fitdistcp’ version 0.1.1

- DESCRIPTION file.

## Help Pages

A B C D E F G H I J L M N P Q R T U W

## -- A --

adhoc_dmgs_cpmethod | Generates a comment about the method
analytic_cpmethod | Generates a comment about the method

## -- B --

bayesian_dq_4terms_v1 | Evaluate DMGS equation 3.3

## -- C --

calc_revert2ml | determine revert2ml or not
cauchy_cp | Cauchy Distribution Predictions Based on a Calibrating Prior
cauchy_f1f | DMGS equation 3.3, f1 term
cauchy_f1fa | The first derivative of the density
cauchy_f2f | DMGS equation 3.3, f2 term
cauchy_f2fa | The second derivative of the density
cauchy_fd | First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
cauchy_fdd | Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
cauchy_ldd | Second derivative matrix of the normalized log-likelihood
cauchy_ldda | The second derivative of the normalized log-likelihood
cauchy_lddd | Third derivative tensor of the normalized log-likelihood
cauchy_lddda | The third derivative of the normalized log-likelihood
cauchy_lmn | One component of the second derivative of the normalized log-likelihood
cauchy_lmnp | One component of the third derivative of the normalized log-likelihood
cauchy_logf | Logf for RUST
cauchy_logfdd | Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
cauchy_logfddd | Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
cauchy_loglik | log-likelihood function
cauchy_logscores | Log scores for MLE and RHP predictions calculated using leave-one-out
cauchy_mu1f | DMGS equation 3.3, mu1 term
cauchy_mu2f | DMGS equation 3.3, mu2 term
cauchy_p1f | DMGS equation 3.3, p1 term
cauchy_p1_cp | Cauchy Distribution with a Predictor, Predictions Based on a Calibrating Prior
cauchy_p1_f1f | DMGS equation 2.1, f1 term
cauchy_p1_f1fa | The first derivative of the density
cauchy_p1_f2f | DMGS equation 2.1, f2 term
cauchy_p1_f2fa | The second derivative of the density
cauchy_p1_fd | First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
cauchy_p1_fdd | Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
cauchy_p1_ldd | Second derivative matrix of the normalized log-likelihood
cauchy_p1_ldda | The second derivative of the normalized log-likelihood
cauchy_p1_lddd | Third derivative tensor of the normalized log-likelihood
cauchy_p1_lddda | The third derivative of the normalized log-likelihood
cauchy_p1_lmn | One component of the second derivative of the normalized log-likelihood
cauchy_p1_lmnp | One component of the second derivative of the normalized log-likelihood
cauchy_p1_logf | Logf for RUST
cauchy_p1_logfdd | Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
cauchy_p1_logfddd | Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
cauchy_p1_loglik | Cauchy-with-p1 observed log-likelihood function
cauchy_p1_logscores | Log scores for MLE and RHP predictions calculated using leave-one-out
cauchy_p1_means | Cauchy distribution: RHP mean
cauchy_p1_mu1f | DMGS equation 3.3, mu1 term
cauchy_p1_mu2f | DMGS equation 3.3, mu2 term
cauchy_p1_p1f | DMGS equation 2.1, p1 term
cauchy_p1_p2f | DMGS equation 2.1, p2 term
cauchy_p1_predictordata | Predicted Parameter and Generalized Residuals
cauchy_p1_waic | Waic
cauchy_p2f | DMGS equation 3.3, p2 term
cauchy_waic | Waic
crhpflat_dmgs_cpmethod | Generates a comment about the method

## -- D --

d100gamma_example_data_v1 | This is data to be included in my package
d101invgamma_example_data_v1 | This is data to be included in my package
d102invgauss_example_data_v1 | This is data to be included in my package
d105burr_example_data_v1 | This is data to be included in my package
d10exp_example_data_v1 | This is data to be included in my package
d110gev_example_data_v1 | This is data to be included in my package
d11pareto_k2_example_data_v1 | This is data to be included in my package
d120gpd_k1_example_data_v1 | This is data to be included in my package
d150gev_p1_example_data_v1_t | This is data to be included in my package
d150gev_p1_example_data_v1_x | This is data to be included in my package
d151gev_p12_example_data_v1_t | This is data to be included in my package
d151gev_p12_example_data_v1_x | This is data to be included in my package
d152gev_p123_example_data_v1_t | This is data to be included in my package
d152gev_p123_example_data_v1_x | This is data to be included in my package
d20halfnorm_example_data_v1 | This is data to be included in my package
d25unif_example_data_v1 | This is data to be included in my package
d30norm_example_data_v1 | This is data to be included in my package
d31norm_dmgs_example_data_v1 | This is data to be included in my package
d32gnorm_k3_example_data_v1 | This is data to be included in my package
d35lnorm_example_data_v1 | This is data to be included in my package
d36lnorm_dmgs_example_data_v1 | This is data to be included in my package
d40logis_example_data_v1 | This is data to be included in my package
d41lst_k3_example_data_v1 | This is data to be included in my package
d42cauchy_example_data_v1 | This is data to be included in my package
d50gumbel_example_data_v1 | This is data to be included in my package
d51frechet_k1_example_data_v1 | This is data to be included in my package
d52weibull_example_data_v1 | This is data to be included in my package
d53gev_k3_example_data_v1 | This is data to be included in my package
d55exp_p1_example_data_v1_t | This is data to be included in my package
d55exp_p1_example_data_v1_x | This is data to be included in my package
d56pareto_p1k2_example_data_v1_t | This is data to be included in my package
d56pareto_p1k2_example_data_v1_x | This is data to be included in my package
d60norm_p1_example_data_v1_t | This is data to be included in my package
d60norm_p1_example_data_v1_x | This is data to be included in my package
d61lnorm_p1_example_data_v1_t | This is data to be included in my package
d61lnorm_p1_example_data_v1_x | This is data to be included in my package
d62logis_p1_example_data_v1_t | This is data to be included in my package
d62logis_p1_example_data_v1_x | This is data to be included in my package
d63lst_p1k3_example_data_v1_t | This is data to be included in my package
d63lst_p1k3_example_data_v1_x | This is data to be included in my package
d64cauchy_p1_example_data_v1_t | This is data to be included in my package
d64cauchy_p1_example_data_v1_x | This is data to be included in my package
d70gumbel_p1_example_data_v1_t | This is data to be included in my package
d70gumbel_p1_example_data_v1_x | This is data to be included in my package
d71frechet_p2k1_example_data_v1_t | This is data to be included in my package
d71frechet_p2k1_example_data_v1_x | This is data to be included in my package
d72weibull_p1_example_data_v1_t | This is data to be included in my package
d72weibull_p1_example_data_v1_x | This is data to be included in my package
d73weibull_p2_example_data_v1_t | This is data to be included in my package
d73weibull_p2_example_data_v1_x | This is data to be included in my package
d74gev_p1k3_example_data_v1_t | This is data to be included in my package
d74gev_p1k3_example_data_v1_x | This is data to be included in my package
d80norm_p12_example_data_v1_t1 | This is data to be included in my package
d80norm_p12_example_data_v1_t2 | This is data to be included in my package
d80norm_p12_example_data_v1_x | This is data to be included in my package
d81lst_p12k3_example_data_v1_t1 | This is data to be included in my package
d81lst_p12k3_example_data_v1_t2 | This is data to be included in my package
d81lst_p12k3_example_data_v1_x | This is data to be included in my package
d82weibull_p12_example_data_v1_t1 | This is data to be included in my package
d82weibull_p12_example_data_v1_t2 | This is data to be included in my package
d82weibull_p12_example_data_v1_x | This is data to be included in my package
dcauchysub | Densities from MLE and RHP
dcauchy_cp | Cauchy Distribution Predictions Based on a Calibrating Prior
dcauchy_p1 | Cauchy-with-p1 density function
dcauchy_p1sub | Densities from MLE and RHP
dcauchy_p1_cp | Cauchy Distribution with a Predictor, Predictions Based on a Calibrating Prior
deriv_copyfdd | Extract the results from derivatives and put them into f2
deriv_copyld2 | Extract the results from derivatives and put them into ldd
deriv_copyldd | Extract the results from derivatives and put them into ldd
deriv_copylddd | Extract the results from derivatives and put them into lddd
dexpsub | Densities from MLE and RHP
dexp_cp | Exponential Distribution Predictions Based on a Calibrating Prior
dexp_p1 | Exponential-with-p1 density function
dexp_p1sub | Densities from MLE and RHP
dexp_p1_cp | Exponential Distribution with a Predictor, Predictions Based on a Calibrating Prior
dfrechetsub | Densities from MLE and RHP
dfrechet_k1_cp | Frechet Distribution Predictions Based on a Calibrating Prior
dfrechet_p2k1 | Frechet_k1-with-p2 density function
dfrechet_p2k1sub | Densities from MLE and RHP
dfrechet_p2k1_cp | Frechet Distribution with Predictor, Predictions Based on a Calibrating Prior
dgammasub | Densities from MLE and RHP
dgamma_cp | Gamma Distribution Predictions Based on a Calibrating Prior
dgevsub | Densities for 5 predictions
dgev_cp | Generalized Extreme Value Distribution, Predictions Based on a Calibrating Prior
dgev_k3sub | Densities from MLE and RHP
dgev_k3_cp | Generalized Extreme Value Distribution with Known Shape, Predictions Based on a Calibrating Prior
dgev_p1 | GEVD-with-p1: Density function
dgev_p12 | GEVD-with-p1: Density function
dgev_p123 | GEVD-with-p1: Density function
dgev_p123sub | Densities for 5 predictions
dgev_p123_cp | Generalized Extreme Value Distribution with Three Predictors, Predictions based on a Calibrating Prior
dgev_p12sub | Densities for 5 predictions
dgev_p12_cp | Generalized Extreme Value Distribution with Two Predictors, Predictions based on a Calibrating Prior
dgev_p1k3 | GEV-with-known-shape-with-p1 density function
dgev_p1k3sub | Densities from MLE and RHP
dgev_p1k3_cp | GEV Distribution with Known Shape with a Predictor, Predictions Based on a Calibrating Prior
dgev_p1sub | Densities for 5 predictions
dgev_p1_cp | Generalized Extreme Value Distribution with a Predictor, Predictions Based on a Calibrating Prior
dgnorm_k3sub | Densities from MLE and RHP
dgnorm_k3_cp | Generalized Normal Distribution Predictions Based on a Calibrating Prior
dgpdsub | Densities for 5 predictions
dgpd_k1_cp | Generalized Pareto Distribution with Known Location Parameter, Predictions Based on a Calibrating Prior
dgumbelsub | Densities from MLE and RHP
dgumbel_cp | Gumbel Distribution Predictions Based on a Calibrating Prior
dgumbel_p1 | Gumbel-with-p1 density function
dgumbel_p1sub | Densities from MLE and RHP
dgumbel_p1_cp | Gumbel Distribution with a Predictor, Predictions Based on a Calibrating Prior
dhalfnormsub | Densities from MLE and RHP
dhalfnorm_cp | Half-Normal Distribution Predictions Based on a Calibrating Prior
dinvgammasub | Densities from MLE and cp
dinvgamma_cp | Inverse Gamma Distribution, Predictions Based on a Calibrating Prior
dinvgausssub | Densities from MLE and RHP
dinvgauss_cp | Inverse Gauss Distribution, Predictions Based on a Calibrating Prior
dlnormsub | Densities from MLE and RHP
dlnorm_cp | Log-normal Distribution Predictions Based on a Calibrating Prior
dlnorm_dmgssub | Densities from MLE and RHP
dlnorm_dmgs_cp | Log-normal Distribution Predictions Based on a Calibrating Prior, using DMGS (for testing only)
dlnorm_p1 | Normal-with-p1 density function
dlnorm_p1sub | Densities from MLE and RHP
dlnorm_p1_cp | Log-normal Distribution with a Predictor, Predictions Based on a Calibrating Prior
dlogis2sub | Densities from MLE and RHP
dlogis_cp | Logistic Distribution Predictions Based on a Calibrating Prior
dlogis_p1 | Logistic-with-p1 density function
dlogis_p1sub | Densities from MLE and RHP
dlogis_p1_cp | Logistic Distribution with a Predictor, Predictions Based on a Calibrating Prior
dlst_k3sub | Densities from MLE and RHP
dlst_k3_cp | t Distribution Predictions Based on a Calibrating Prior
dlst_p1k3 | LST-with-p1 density function
dlst_p1k3sub | Densities from MLE and RHP
dlst_p1k3_cp | t Distribution with a Predictor, Predictions Based on a Calibrating Prior
dmgs | Evaluate DMGS equation 3.3
dnormsub | Densities from MLE and RHP
dnorm_cp | Normal Distribution Predictions Based on a Calibrating Prior
dnorm_dmgssub | Densities from MLE and RHP
dnorm_dmgs_cp | Normal Distribution Predictions Based on a Calibrating Prior, using DMGS (for testing only)
dnorm_p1 | Normal-with-p1 density function
dnorm_p1sub | Densities from MLE and RHP
dnorm_p1_cp | Normal Distribution with a Predictor, Predictions Based on a Calibrating Prior
dnorm_p1_formula | Linear regression formula, densities
dpareto_k2_cp | Pareto Distribution Predictions Based on a Calibrating Prior
dpareto_k2_sub | Densities from MLE and RHP
dpareto_p1k2 | pareto_k1-with-p2 density function
dpareto_p1k2sub | Densities from MLE and RHP
dpareto_p1k2_cp | Pareto Distribution with a Predictor, Predictions Based on a Calibrating Prior
dunif_cp | Uniform Distribution Predictions Based on a Calibrating Prior
dunif_formula | Predictive PDFs
dweibullsub | Densities from MLE and RHP
dweibull_cp | Weibull Distribution Predictions Based on a Calibrating Prior
dweibull_p2 | Weibull-with-p1 density function
dweibull_p2sub | Densities from MLE and RHP
dweibull_p2_cp | weibull Distribution with a Predictor on the Scale Parameter, Predictions Based on a Calibrating Prior

## -- E --

exp_cp | Exponential Distribution Predictions Based on a Calibrating Prior
exp_f1f | DMGS equation 2.1, f1 term
exp_f1fa | The first derivative of the density
exp_f2f | DMGS equation 2.1, f2 term
exp_f2fa | The second derivative of the density
exp_fd | First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
exp_fdd | Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
exp_l111 | Third derivative of the normalized log-likelihood
exp_ldd | The second derivative of the normalized log-likelihood
exp_ldda | The second derivative of the normalized log-likelihood
exp_lddd | Third derivative tensor of the log-likelihood
exp_lddda | The third derivative of the normalized log-likelihood
exp_logf | Logf for RUST
exp_logfdd | Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
exp_logfddd | Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
exp_logscores | Log scores for MLE and RHP predictions calculated using leave-one-out
exp_p1fa | The first derivative of the cdf
exp_p1_cp | Exponential Distribution with a Predictor, Predictions Based on a Calibrating Prior
exp_p1_f1f | DMGS equation 2.1, f1 term
exp_p1_f1fa | The first derivative of the density
exp_p1_f2f | DMGS equation 2.1, f2 term
exp_p1_f2fa | The second derivative of the density
exp_p1_fd | First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
exp_p1_fdd | Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
exp_p1_ldd | Second derivative matrix of the normalized log-likelihood
exp_p1_ldda | The second derivative of the normalized log-likelihood
exp_p1_lddd | Third derivative tensor of the normalized log-likelihood
exp_p1_lddda | The third derivative of the normalized log-likelihood
exp_p1_lmn | One component of the second derivative of the normalized log-likelihood
exp_p1_lmnp | One component of the third derivative of the normalized log-likelihood
exp_p1_logf | Logf for RUST
exp_p1_logfdd | Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
exp_p1_logfddd | Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
exp_p1_loglik | observed log-likelihood function
exp_p1_logscores | Log scores for MLE and RHP predictions calculated using leave-one-out
exp_p1_means | exp distribution: RHP means
exp_p1_mu1f | DMGS equation 3.3, mu1 term
exp_p1_mu1fa | Minus the first derivative of the cdf, at alpha
exp_p1_mu2f | DMGS equation 3.3, mu2 term
exp_p1_mu2fa | Minus the second derivative of the cdf, at alpha
exp_p1_p1f | DMGS equation 2.1, p1 term
exp_p1_p1fa | The first derivative of the cdf
exp_p1_p2f | DMGS equation 2.1, p2 term
exp_p1_p2fa | The second derivative of the cdf
exp_p1_pd | First derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
exp_p1_pdd | Second derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
exp_p1_predictordata | Predicted Parameter and Generalized Residuals
exp_p1_waic | Waic
exp_p2fa | The second derivative of the cdf
exp_pd | First derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
exp_pdd | Second derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
exp_waic | Waicscores

## -- F --

fixgevrange | Deal with situations in which the user wants d or p outside the GEV range
fixgpdrange | Deal with situations in which the user wants d or p outside the GPD range
frechet_k1_cp | Frechet Distribution Predictions Based on a Calibrating Prior
frechet_k1_f1f | DMGS equation 3.3, f1 term
frechet_k1_f1fa | The first derivative of the density
frechet_k1_f2f | DMGS equation 3.3, f2 term
frechet_k1_f2fa | The second derivative of the density
frechet_k1_fd | First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
frechet_k1_fdd | Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
frechet_k1_ldd | Second derivative matrix of the normalized log-likelihood
frechet_k1_ldda | The second derivative of the normalized log-likelihood
frechet_k1_lddd | Third derivative tensor of the normalized log-likelihood
frechet_k1_lddda | The third derivative of the normalized log-likelihood
frechet_k1_lmn | One component of the second derivative of the normalized log-likelihood
frechet_k1_lmnp | One component of the third derivative of the normalized log-likelihood
frechet_k1_logf | Logf for RUST
frechet_k1_logfdd | Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
frechet_k1_logfddd | Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
frechet_k1_mu1f | DMGS equation 3.3, mu1 term
frechet_k1_mu1fa | Minus the first derivative of the cdf, at alpha
frechet_k1_mu2f | DMGS equation 3.3, mu2 term
frechet_k1_mu2fa | Minus the second derivative of the cdf, at alpha
frechet_k1_p1f | DMGS equation 3.3, p1 term
frechet_k1_p1fa | The first derivative of the cdf
frechet_k1_p2f | DMGS equation 3.3, p2 term
frechet_k1_p2fa | The second derivative of the cdf
frechet_k1_pd | First derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
frechet_k1_pdd | Second derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
frechet_k1_waic | Waic
frechet_loglik | log-likelihood function
frechet_logscores | Log scores for MLE and RHP predictions calculated using leave-one-out
frechet_means | MLE and RHP predictive means
frechet_p2k1_cp | Frechet Distribution with Predictor, Predictions Based on a Calibrating Prior
frechet_p2k1_f1f | DMGS equation 2.1, f1 term
frechet_p2k1_f1fa | The first derivative of the density
frechet_p2k1_f2f | DMGS equation 2.1, f2 term
frechet_p2k1_f2fa | The second derivative of the density
frechet_p2k1_fd | First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
frechet_p2k1_fdd | Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
frechet_p2k1_ldd | Second derivative matrix of the normalized log-likelihood
frechet_p2k1_ldda | The second derivative of the normalized log-likelihood
frechet_p2k1_lddd | Third derivative tensor of the normalized log-likelihood
frechet_p2k1_lddda | The third derivative of the normalized log-likelihood
frechet_p2k1_lmn | One component of the second derivative of the normalized log-likelihood
frechet_p2k1_lmnp | One component of the second derivative of the normalized log-likelihood
frechet_p2k1_logf | Logf for RUST
frechet_p2k1_logfdd | Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
frechet_p2k1_logfddd | Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
frechet_p2k1_loglik | observed log-likelihood function
frechet_p2k1_logscores | Log scores for MLE and RHP predictions calculated using leave-one-out
frechet_p2k1_means | frechet_k1 distribution: RHP mean
frechet_p2k1_mu1f | DMGS equation 3.3, mu1 term
frechet_p2k1_mu1fa | Minus the first derivative of the cdf, at alpha
frechet_p2k1_mu2f | DMGS equation 3.3, mu2 term
frechet_p2k1_mu2fa | Minus the second derivative of the cdf, at alpha
frechet_p2k1_p1f | DMGS equation 2.1, p1 term
frechet_p2k1_p1fa | The first derivative of the cdf
frechet_p2k1_p2f | DMGS equation 2.1, p2 term
frechet_p2k1_p2fa | The second derivative of the cdf
frechet_p2k1_pd | First derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
frechet_p2k1_pdd | Second derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
frechet_p2k1_predictordata | Predicted Parameter and Generalized Residuals
frechet_p2k1_waic | Waic

## -- G --

gamma_cp | Gamma Distribution Predictions Based on a Calibrating Prior
gamma_f1f | DMGS equation 3.3, f1 term
gamma_f1fa | The first derivative of the density
gamma_f2f | DMGS equation 3.3, f2 term
gamma_f2fa | The second derivative of the density
gamma_fd | First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gamma_fdd | Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gamma_gg | Second derivative matrix of the expected log-likelihood
gamma_gmn | One component of the second derivative of the expected log-likelihood
gamma_ldd | Second derivative matrix of the normalized log-likelihood
gamma_ldda | The second derivative of the normalized log-likelihood
gamma_lddd | Third derivative tensor of the normalized log-likelihood
gamma_lddda | The third derivative of the normalized log-likelihood
gamma_lmn | One component of the second derivative of the normalized log-likelihood
gamma_lmnp | One component of the second derivative of the normalized log-likelihood
gamma_logf | Logf for RUST
gamma_logfdd | Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gamma_logfddd | Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gamma_loglik | log-likelihood function
gamma_logscores | Log scores for MLE and RHP predictions calculated using leave-one-out
gamma_means | MLE and RHP predictive means
gamma_mu1f | DMGS equation 3.3, mu1 term
gamma_mu2f | DMGS equation 3.3, mu2 term
gamma_p1f | DMGS equation 3.3, p1 term
gamma_p2f | DMGS equation 3.3, p2 term
gamma_waic | Waic
gev_checkmle | Check MLE
gev_cp | Generalized Extreme Value Distribution, Predictions Based on a Calibrating Prior
gev_f1f | DMGS equation 3.3, f1 term
gev_f1fa | The first derivative of the density
gev_f2f | DMGS equation 3.3, f2 term
gev_f2fa | The second derivative of the density
gev_fd | First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gev_fdd | Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gev_ggd_mev | Derivative of expected information matrix, based on MEV routine gev.infomat
gev_ggid_mev | Derivative of inverse expected information matrix, based on MEV routine gev.infomat
gev_k12_ppm_minusloglik | Temporary dummy for one of the ppm models
gev_k3_cp | Generalized Extreme Value Distribution with Known Shape, Predictions Based on a Calibrating Prior
gev_k3_f1f | DMGS equation 3.3, f1 term
gev_k3_f1fa | The first derivative of the density
gev_k3_f2f | DMGS equation 3.3, f2 term
gev_k3_f2fa | The second derivative of the density
gev_k3_fd | First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gev_k3_fdd | Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gev_k3_ldd | Second derivative matrix of the normalized log-likelihood
gev_k3_ldda | The second derivative of the normalized log-likelihood
gev_k3_lddd | Third derivative tensor of the normalized log-likelihood
gev_k3_lddda | The third derivative of the normalized log-likelihood
gev_k3_lmn | One component of the second derivative of the normalized log-likelihood
gev_k3_lmnp | One component of the third derivative of the normalized log-likelihood
gev_k3_logf | Logf for RUST
gev_k3_logfdd | Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gev_k3_logfddd | Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gev_k3_loglik | log-likelihood function
gev_k3_means | MLE and RHP means
gev_k3_mu1f | DMGS equation 3.3, mu1 term
gev_k3_mu1fa | Minus the first derivative of the cdf, at alpha
gev_k3_mu2f | DMGS equation 3.3, mu2 term
gev_k3_mu2fa | Minus the second derivative of the cdf, at alpha
gev_k3_pd | First derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gev_k3_pdd | Second derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gev_k3_waic | Waic
gev_ld12a | The combined derivative of the normalized log-likelihood
gev_lda | The first derivative of the normalized log-likelihood
gev_ldd | Second derivative matrix of the normalized log-likelihood
gev_ldda | The second derivative of the normalized log-likelihood
gev_lddd | Third derivative tensor of the normalized log-likelihood
gev_lddda | The third derivative of the normalized log-likelihood
gev_lmn | One component of the second derivative of the normalized log-likelihood
gev_lmnp | One component of the second derivative of the normalized log-likelihood
gev_logf | Logf for RUST
gev_logfd | First derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gev_logfdd | Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gev_logfddd | Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gev_loglik | log-likelihood function
gev_means | Analytical Expressions for Predictive Means RHP mean based on the expectation of DMGS equation 2.1
gev_mu1f | DMGS equation 3.3, mu1 term
gev_mu1fa | Minus the first derivative of the cdf, at alpha
gev_mu2f | DMGS equation 3.3, mu2 term
gev_mu2fa | Minus the second derivative of the cdf, at alpha
gev_p123_checkmle | Check MLE
gev_p123_cp | Generalized Extreme Value Distribution with Three Predictors, Predictions based on a Calibrating Prior
gev_p123_f1f | DMGS equation 2.1, f1 term, fixed shape parameter DMGS equation 2.1, f1 term
gev_p123_f1fa | The first derivative of the density
gev_p123_f2f | GEVD-with-p1: DMGS equation 1.2 f2 term
gev_p123_f2fa | The second derivative of the density
gev_p123_fd | First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gev_p123_fdd | Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gev_p123_ldd | Second derivative matrix of the normalized log-likelihood
gev_p123_ldda | The second derivative of the normalized log-likelihood
gev_p123_lddd | Third derivative tensor of the normalized log-likelihood, with fixed shape parameter
gev_p123_lddda | The third derivative of the normalized log-likelihood
gev_p123_lmn | One component of the second derivative of the normalized log-likelihood
gev_p123_lmnp | One component of the second derivative of the normalized log-likelihood
gev_p123_logf | Logf for RUST
gev_p123_logfdd | Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gev_p123_logfddd | Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gev_p123_loglik | observed log-likelihood function
gev_p123_means | Analytical expressions for Predictive Means RHP mean based on the expectation of DMGS equation 2.1
gev_p123_mu1f | GEVD-with-p1: DMGS equation 3.3 mu1 term
gev_p123_mu1fa | Minus the first derivative of the cdf, at alpha
gev_p123_mu2f | GEVD-with-p1: DMGS equation 3.3 mu2 term
gev_p123_mu2fa | Minus the second derivative of the cdf, at alpha
gev_p123_pd | First derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gev_p123_pdd | Second derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gev_p123_predictordata | Predicted Parameter and Generalized Residuals
gev_p123_setics | Set initial conditions
gev_p123_waic | Waic
gev_p12k3_f1f | DMGS equation 2.1, f1 term, fixed shape parameter
gev_p12k3_f1fa | The first derivative of the density
gev_p12k3_f2f | GEVD-with-p1: DMGS equation 1.2 f2 term
gev_p12k3_f2fa | The second derivative of the density
gev_p12k3_fd | First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gev_p12k3_fdd | Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gev_p12k3_ldd | Second derivative matrix of the normalized log-likelihood, with fixed shape parameter
gev_p12k3_ldda | The second derivative of the normalized log-likelihood
gev_p12k3_lddd | Third derivative tensor of the normalized log-likelihood, with fixed shape parameter
gev_p12k3_lddda | The third derivative of the normalized log-likelihood
gev_p12k3_logfdd | Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gev_p12k3_logfddd | Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gev_p12k3_mu1f | GEVD-with-p1: DMGS equation 3.3 mu1 term, fixed shape parameter
gev_p12k3_mu1fa | Minus the first derivative of the cdf, at alpha
gev_p12k3_mu2f | GEVD-with-p1: DMGS equation 3.3 mu2 term, fixed shape parameter
gev_p12k3_mu2fa | Minus the second derivative of the cdf, at alpha
gev_p12k3_pd | First derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gev_p12k3_pdd | Second derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gev_p12_checkmle | Check MLE
gev_p12_cp | Generalized Extreme Value Distribution with Two Predictors, Predictions based on a Calibrating Prior
gev_p12_f1f | DMGS equation 2.1, f1 term
gev_p12_f1fa | The first derivative of the density
gev_p12_f2f | GEVD-with-p1: DMGS equation 1.2 f2 term
gev_p12_f2fa | The second derivative of the density
gev_p12_fd | First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gev_p12_fdd | Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gev_p12_ggd | Derivative of information matrix, based on ldd
gev_p12_ldd | Second derivative matrix of the normalized log-likelihood
gev_p12_ldda | The second derivative of the normalized log-likelihood
gev_p12_lddd | Third derivative tensor of the normalized log-likelihood, with fixed shape parameter
gev_p12_lddda | The third derivative of the normalized log-likelihood
gev_p12_lmn | One component of the second derivative of the normalized log-likelihood
gev_p12_lmnp | One component of the second derivative of the normalized log-likelihood
gev_p12_logf | Logf for RUST
gev_p12_logfdd | Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gev_p12_logfddd | Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gev_p12_loglik | observed log-likelihood function
gev_p12_means | Analytical expressions for Predictive Means RHP mean based on the expectation of DMGS equation 2.1
gev_p12_mu1f | GEVD-with-p1: DMGS equation 3.3 mu1 term
gev_p12_mu1fa | Minus the first derivative of the cdf, at alpha
gev_p12_mu2f | GEVD-with-p1: DMGS equation 3.3 mu2 term
gev_p12_mu2fa | Minus the second derivative of the cdf, at alpha
gev_p12_pd | First derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gev_p12_pdd | Second derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gev_p12_predictordata | Predicted Parameter and Generalized Residuals
gev_p12_setics | Set initial conditions
gev_p12_waic | Waic
gev_p1k3_cp | GEV Distribution with Known Shape with a Predictor, Predictions Based on a Calibrating Prior
gev_p1k3_f1f | DMGS equation 2.1, f1 term, fixed shape parameter
gev_p1k3_f1fa | The first derivative of the density
gev_p1k3_f2f | GEVD-with-p1: DMGS equation 1.2 f2 term
gev_p1k3_f2fa | The second derivative of the density
gev_p1k3_fd | First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gev_p1k3_fdd | Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gev_p1k3_ldd | Second derivative matrix of the normalized log-likelihood, with fixed shape parameter
gev_p1k3_ldda | The second derivative of the normalized log-likelihood
gev_p1k3_lddd | Third derivative tensor of the normalized log-likelihood, with fixed shape parameter
gev_p1k3_lddda | The third derivative of the normalized log-likelihood
gev_p1k3_lmn | One component of the second derivative of the normalized log-likelihood
gev_p1k3_lmnp | One component of the second derivative of the normalized log-likelihood
gev_p1k3_logf | Logf for RUST
gev_p1k3_logfdd | Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gev_p1k3_logfddd | Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gev_p1k3_loglik | GEV-with-known-shape-with-p1 observed log-likelihood function
gev_p1k3_means | Analytical expressions for Predictive Means RHP mean based on the expectation of DMGS equation 2.1
gev_p1k3_mu1f | GEVD-with-p1: DMGS equation 3.3 mu1 term, fixed shape parameter
gev_p1k3_mu1fa | Minus the first derivative of the cdf, at alpha
gev_p1k3_mu2f | GEVD-with-p1: DMGS equation 3.3 mu2 term, fixed shape parameter
gev_p1k3_mu2fa | Minus the second derivative of the cdf, at alpha
gev_p1k3_pd | First derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gev_p1k3_pdd | Second derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gev_p1k3_predictordata | Predicted Parameter and Generalized Residuals
gev_p1k3_waic | Waic
gev_p1_checkmle | Check MLE
gev_p1_cp | Generalized Extreme Value Distribution with a Predictor, Predictions Based on a Calibrating Prior
gev_p1_f1f | DMGS equation 2.1, f1 term
gev_p1_f1fa | The first derivative of the density
gev_p1_f2f | GEVD-with-p1: DMGS equation 1.2 f2 term
gev_p1_f2fa | The second derivative of the density
gev_p1_fd | First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gev_p1_fdd | Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gev_p1_ggd | Derivative of information matrix, based on ldd
gev_p1_ldd | Second derivative matrix of the normalized log-likelihood
gev_p1_ldda | The second derivative of the normalized log-likelihood
gev_p1_lddd | Third derivative tensor of the normalized log-likelihood, with fixed shape parameter
gev_p1_lddda | The third derivative of the normalized log-likelihood
gev_p1_lmn | One component of the second derivative of the normalized log-likelihood
gev_p1_lmnp | One component of the second derivative of the normalized log-likelihood
gev_p1_logf | Logf for RUST
gev_p1_logfdd | Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gev_p1_logfddd | Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gev_p1_loglik | observed log-likelihood function
gev_p1_means | Analytical expressions for Predictive Means RHP mean based on the expectation of DMGS equation 2.1
gev_p1_mu1f | GEVD-with-p1: DMGS equation 3.3 mu1 term
gev_p1_mu1fa | Minus the first derivative of the cdf, at alpha
gev_p1_mu2f | GEVD-with-p1: DMGS equation 3.3 mu2 term
gev_p1_mu2fa | Minus the second derivative of the cdf, at alpha
gev_p1_pd | First derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gev_p1_pdd | Second derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gev_p1_predictordata | Predicted Parameter and Generalized Residuals
gev_p1_setics | Set initial conditions
gev_p1_waic | Waic
gev_pd | First derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gev_pdd | Second derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gev_pwm_params | PWM parameter estimation
gev_setics | Set initial conditions
gev_waic | Waic
gnorm_k3_cp | Generalized Normal Distribution Predictions Based on a Calibrating Prior
gnorm_k3_f1f | DMGS equation 3.3, f1 term
gnorm_k3_f1fa | The first derivative of the density
gnorm_k3_f2f | DMGS equation 3.3, f2 term
gnorm_k3_f2fa | The second derivative of the density
gnorm_k3_fd | First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gnorm_k3_fdd | Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gnorm_k3_ldd | Second derivative matrix of the normalized log-likelihood
gnorm_k3_ldda | The second derivative of the normalized log-likelihood
gnorm_k3_lddd | Third derivative tensor of the normalized log-likelihood
gnorm_k3_lddda | The third derivative of the normalized log-likelihood
gnorm_k3_lmn | One component of the second derivative of the normalized log-likelihood
gnorm_k3_logf | Logf for RUST
gnorm_k3_logfdd | Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gnorm_k3_logfddd | Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gnorm_k3_loglik | log-likelihood function
gnorm_k3_logscores | Log scores for MLE and RHP predictions calculated using leave-one-out
gnorm_k3_mu1f | DMGS equation 3.3, mu1 term
gnorm_k3_mu2f | DMGS equation 3.3, mu2 term
gnorm_k3_p1f | DMGS equation 3.3, p1 term
gnorm_k3_p2f | DMGS equation 3.3, p2 term
gnorm_lmnp | One component of the second derivative of the normalized log-likelihood
gnorm_waic | Waic for RUST
gpd_k13_f1f | DMGS equation 3.3, f1 term
gpd_k13_f1fa | The first derivative of the density
gpd_k13_f2f | DMGS equation 3.3, f2 term
gpd_k13_f2fa | The second derivative of the density
gpd_k13_fd | First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gpd_k13_fdd | Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gpd_k13_l11 | One component of the second derivative of the normalized log-likelihood
gpd_k13_l111 | One component of the third derivative of the normalized log-likelihood
gpd_k13_ldd | Second derivative matrix of the normalized log-likelihood, with fixed shape
gpd_k13_ldda | The second derivative of the normalized log-likelihood
gpd_k13_lddd | Third derivative tensor of the normalized log-likelihood
gpd_k13_lddda | The third derivative of the normalized log-likelihood
gpd_k13_logfdd | Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gpd_k13_logfddd | Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gpd_k13_mu1f | DMGS equation 3.3, mu1 term
gpd_k13_mu1fa | Minus the first derivative of the cdf, at alpha
gpd_k13_mu2f | DMGS equation 3.3, mu2 term
gpd_k13_mu2fa | Minus the second derivative of the cdf, at alpha
gpd_k13_p1f | DMGS equation 3.3, p1 term
gpd_k13_p2f | DMGS equation 3.3, p2 term
gpd_k13_pd | First derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gpd_k13_pdd | Second derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gpd_k1_checkmle | Check MLE
gpd_k1_cp | Generalized Pareto Distribution with Known Location Parameter, Predictions Based on a Calibrating Prior
gpd_k1_f1f | DMGS equation 3.3, f1 term
gpd_k1_f1fa | The first derivative of the density
gpd_k1_f2f | DMGS equation 3.3, f2 term
gpd_k1_f2fa | The second derivative of the density
gpd_k1_fd | First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gpd_k1_fdd | Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gpd_k1_ggd_mev | Derivative of expected information matrix, based on MEV routine gpd.infomat
gpd_k1_ldd | Second derivative matrix of the normalized log-likelihood
gpd_k1_ldda | The second derivative of the normalized log-likelihood
gpd_k1_lddd | Third derivative tensor of the normalized log-likelihood
gpd_k1_lddda | The third derivative of the normalized log-likelihood
gpd_k1_lmn | One component of the second derivative of the normalized log-likelihood
gpd_k1_lmnp | One component of the second derivative of the normalized log-likelihood
gpd_k1_logf | Logf for RUST
gpd_k1_logfdd | Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gpd_k1_logfddd | Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gpd_k1_loglik | log-likelihood function
gpd_k1_means | Analytical Expressions for Predictive Means RHP mean based on the expectation of DMGS equation 2.1
gpd_k1_mu1f | DMGS equation 3.3, mu1 term
gpd_k1_mu1fa | Minus the first derivative of the cdf, at alpha
gpd_k1_mu2f | DMGS equation 3.3, mu2 term
gpd_k1_mu2fa | Minus the second derivative of the cdf, at alpha
gpd_k1_p1f | DMGS equation 3.3, p1 term
gpd_k1_p2f | DMGS equation 3.3, p2 term
gpd_k1_pd | First derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gpd_k1_pdd | Second derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gpd_k1_setics | Set initial conditions
gpd_k1_waic | Waic
gumbel_cp | Gumbel Distribution Predictions Based on a Calibrating Prior
gumbel_f1f | DMGS equation 3.3, f1 term
gumbel_f1fa | The first derivative of the density
gumbel_f2f | DMGS equation 3.3, f2 term
gumbel_f2fa | The second derivative of the density
gumbel_fd | First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gumbel_fdd | Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gumbel_ldd | Second derivative matrix of the normalized log-likelihood
gumbel_ldda | The second derivative of the normalized log-likelihood
gumbel_lddd | Third derivative tensor of the normalized log-likelihood
gumbel_lddda | The third derivative of the normalized log-likelihood
gumbel_lmn | One component of the second derivative of the normalized log-likelihood
gumbel_lmnp | One component of the third derivative of the normalized log-likelihood
gumbel_logf | Logf for RUST
gumbel_logfdd | Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gumbel_logfddd | Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gumbel_loglik | log-likelihood function
gumbel_logscores | Log scores for MLE and RHP predictions calculated using leave-one-out
gumbel_means | MLE and RHP predictive means
gumbel_mu1f | DMGS equation 3.3, mu1 term
gumbel_mu1fa | Minus the first derivative of the cdf, at alpha
gumbel_mu2f | DMGS equation 3.3, mu2 term
gumbel_mu2fa | Minus the second derivative of the cdf, at alpha
gumbel_p1f | DMGS equation 3.3, p1 term
gumbel_p1fa | The first derivative of the cdf
gumbel_p1_cp | Gumbel Distribution with a Predictor, Predictions Based on a Calibrating Prior
gumbel_p1_f1f | DMGS equation 2.1, f1 term
gumbel_p1_f1fa | The first derivative of the density
gumbel_p1_f2f | DMGS equation 2.1, f2 term
gumbel_p1_f2fa | The second derivative of the density
gumbel_p1_fd | First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gumbel_p1_fdd | Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gumbel_p1_ldd | Second derivative matrix of the normalized log-likelihood
gumbel_p1_ldda | The second derivative of the normalized log-likelihood
gumbel_p1_lddd | Third derivative tensor of the normalized log-likelihood
gumbel_p1_lddda | The third derivative of the normalized log-likelihood
gumbel_p1_lmn | One component of the second derivative of the normalized log-likelihood
gumbel_p1_lmnp | One component of the second derivative of the normalized log-likelihood
gumbel_p1_logf | Logf for RUST
gumbel_p1_logfdd | Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gumbel_p1_logfddd | Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gumbel_p1_loglik | observed log-likelihood function
gumbel_p1_logscores | Log scores for MLE and RHP predictions calculated using leave-one-out
gumbel_p1_means | Gumbel distribution: RHP mean
gumbel_p1_mu1f | DMGS equation 3.3, mu1 term
gumbel_p1_mu1fa | Minus the first derivative of the cdf, at alpha
gumbel_p1_mu2f | DMGS equation 3.3, mu2 term
gumbel_p1_mu2fa | Minus the second derivative of the cdf, at alpha
gumbel_p1_p1f | DMGS equation 2.1, p1 term
gumbel_p1_p1fa | The first derivative of the cdf
gumbel_p1_p2f | DMGS equation 2.1, p2 term
gumbel_p1_p2fa | The second derivative of the cdf
gumbel_p1_pd | First derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gumbel_p1_pdd | Second derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gumbel_p1_predictordata | Predicted Parameter and Generalized Residuals
gumbel_p1_waic | Waic
gumbel_p2f | DMGS equation 3.3, p2 term
gumbel_p2fa | The second derivative of the cdf
gumbel_pd | First derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gumbel_pdd | Second derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
gumbel_waic | Waic

## -- H --

halfnorm_cp | Half-Normal Distribution Predictions Based on a Calibrating Prior
halfnorm_f1f | DMGS equation 2.1, f1 term
halfnorm_f1fa | The first derivative of the density
halfnorm_f2f | DMGS equation 2.1, f2 term
halfnorm_f2fa | The second derivative of the density
halfnorm_fd | First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
halfnorm_fdd | Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
halfnorm_gg | Expected information matrix
halfnorm_gg11 | Second derivative of the expected log-likelihood
halfnorm_l111 | Third derivative of the normalized log-likelihood
halfnorm_ldd | The second derivative of the normalized log-likelihood
halfnorm_ldda | The second derivative of the normalized log-likelihood
halfnorm_lddd | Third derivative tensor of the log-likelihood
halfnorm_lddda | The third derivative of the normalized log-likelihood
halfnorm_logf | Logf for RUST
halfnorm_logfdd | Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
halfnorm_logfddd | Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
halfnorm_loglik | Log-likelihood function
halfnorm_logscores | Log scores for MLE and RHP predictions calculated using leave-one-out
halfnorm_means | MLE and RHP predictive means RHP mean based on the expectation of DMGS equation 2.1
halfnorm_mu1f | DMGS equation 3.3, mu1 term
halfnorm_mu2f | DMGS equation 3.3, mu2 term
halfnorm_p1f | DMGS equation 2.1, p1 term
halfnorm_p2f | DMGS equation 2.1, p2 term
halfnorm_waic | Waic

## -- I --

invgamma_cp | Inverse Gamma Distribution, Predictions Based on a Calibrating Prior
invgamma_f1f | DMGS equation 3.3, f1 term
invgamma_f1fa | The first derivative of the density
invgamma_f2f | DMGS equation 3.3, f2 term
invgamma_f2fa | The second derivative of the density
invgamma_fd | First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
invgamma_fdd | Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
invgamma_ldd | Second derivative matrix of the normalized log-likelihood
invgamma_ldda | The second derivative of the normalized log-likelihood
invgamma_lddd | Third derivative tensor of the normalized log-likelihood
invgamma_lddda | The third derivative of the normalized log-likelihood
invgamma_lmn | One component of the second derivative of the normalized log-likelihood
invgamma_lmnp | One component of the second derivative of the normalized log-likelihood
invgamma_logf | Logf for RUST
invgamma_logfdd | Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
invgamma_logfddd | Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
invgamma_loglik | log-likelihood function
invgamma_logscores | Log scores for MLE and cp predictions calculated using leave-one-out
invgamma_mu1f | DMGS equation 3.3, mu1 term
invgamma_mu2f | DMGS equation 3.3, mu2 term
invgamma_p1f | DMGS equation 3.3, p1 term
invgamma_p2f | DMGS equation 3.3, p2 term
invgamma_waic | Waic
invgauss_cp | Inverse Gauss Distribution, Predictions Based on a Calibrating Prior
invgauss_f1f | DMGS equation 3.3, f1 term
invgauss_f1fa | The first derivative of the density
invgauss_f2f | DMGS equation 3.3, f2 term
invgauss_f2fa | The second derivative of the density
invgauss_fd | First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
invgauss_fdd | Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
invgauss_ldd | Second derivative matrix of the normalized log-likelihood
invgauss_ldda | The second derivative of the normalized log-likelihood
invgauss_lddd | Third derivative tensor of the normalized log-likelihood
invgauss_lddda | The third derivative of the normalized log-likelihood
invgauss_lmn | One component of the second derivative of the normalized log-likelihood
invgauss_lmnp | One component of the second derivative of the normalized log-likelihood
invgauss_logf | Logf for RUST
invgauss_logfdd | Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
invgauss_logfddd | Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
invgauss_loglik | log-likelihood function
invgauss_logscores | Log scores for MLE and RHP predictions calculated using leave-one-out
invgauss_means | MLE and RHP predictive means
invgauss_mu1f | DMGS equation 3.3, mu1 term
invgauss_mu2f | DMGS equation 3.3, mu2 term
invgauss_p1f | DMGS equation 3.3, p1 term
invgauss_p2f | DMGS equation 3.3, p2 term
invgauss_waic | Waic

## -- J --

jpf2p | Jeffreys' Prior with two parameters
jpf3p | Jeffreys' Prior with three parameters
jpf4p | Jeffreys' Prior with four parameters

## -- L --

lnorm_cp | Log-normal Distribution Predictions Based on a Calibrating Prior
lnorm_dmgs_cp | Log-normal Distribution Predictions Based on a Calibrating Prior, using DMGS (for testing only)
lnorm_dmgs_gg11 | One component of the second derivative of the expected log-likelihood
lnorm_dmgs_gg12 | One component of the second derivative of the expected log-likelihood
lnorm_dmgs_gg22 | One component of the second derivative of the expected log-likelihood
lnorm_dmgs_loglik | log-likelihood function
lnorm_dmgs_logscores | Log scores for MLE and RHP predictions calculated using leave-one-out
lnorm_dmgs_means | MLE and RHP predictive means
lnorm_dmgs_mu1f | DMGS equation 3.3, mu1 term
lnorm_dmgs_mu2f | DMGS equation 3.3, mu2 term
lnorm_dmgs_p1f | DMGS equation 3.3, p1 term
lnorm_dmgs_p2f | DMGS equation 3.3, p2 term
lnorm_dmgs_waic | Waic
lnorm_f1f | DMGS equation 3.3, f1 term
lnorm_f1fa | The first derivative of the density
lnorm_f2f | DMGS equation 3.3, f2 term
lnorm_f2fa | The second derivative of the density
lnorm_fd | First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
lnorm_fdd | Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
lnorm_ldd | Second derivative matrix of the lnormalized log-likelihood
lnorm_ldda | The second derivative of the normalized log-likelihood
lnorm_lddd | Third derivative tensor of the lnormalized log-likelihood
lnorm_lddda | The third derivative of the normalized log-likelihood
lnorm_lmn | One component of the second derivative of the normalized log-likelihood
lnorm_lmnp | One component of the second derivative of the normalized log-likelihood
lnorm_logf | Logf for RUST
lnorm_logfdd | Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
lnorm_logfddd | Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
lnorm_logscores | Log scores for MLE and RHP predictions calculated using leave-one-out
lnorm_mu1fa | Minus the first derivative of the cdf, at alpha
lnorm_mu2fa | Minus the second derivative of the cdf, at alpha
lnorm_p1fa | The first derivative of the cdf
lnorm_p1_cp | Log-normal Distribution with a Predictor, Predictions Based on a Calibrating Prior
lnorm_p1_f1f | DMGS equation 2.1, f1 term
lnorm_p1_f1fa | The first derivative of the density
lnorm_p1_f2f | DMGS equation 2.1, f2 term
lnorm_p1_f2fa | The second derivative of the density
lnorm_p1_fd | First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
lnorm_p1_fdd | Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
lnorm_p1_ldd | Second derivative matrix of the normalized log-likelihood
lnorm_p1_ldda | The second derivative of the normalized log-likelihood
lnorm_p1_lddd | Third derivative tensor of the normalized log-likelihood
lnorm_p1_lddda | The third derivative of the normalized log-likelihood
lnorm_p1_lmn | One component of the second derivative of the normalized log-likelihood
lnorm_p1_lmnp | One component of the second derivative of the normalized log-likelihood
lnorm_p1_logf | Logf for RUST
lnorm_p1_logfdd | Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
lnorm_p1_logfddd | Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
lnorm_p1_loglik | Log-normal-with-p1 observed log-likelihood function
lnorm_p1_logscores | Log scores for MLE and RHP predictions calculated using leave-one-out
lnorm_p1_mu1fa | Minus the first derivative of the cdf, at alpha
lnorm_p1_mu2fa | Minus the second derivative of the cdf, at alpha
lnorm_p1_p1fa | The first derivative of the cdf
lnorm_p1_p2fa | The second derivative of the cdf
lnorm_p1_pd | First derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
lnorm_p1_pdd | Second derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
lnorm_p1_predictordata | Predicted Parameter and Generalized Residuals
lnorm_p1_waic | Waic
lnorm_p2fa | The second derivative of the cdf
lnorm_pd | First derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
lnorm_pdd | Second derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
lnorm_waic | Waic for RUST
logis_cp | Logistic Distribution Predictions Based on a Calibrating Prior
logis_f1f | DMGS equation 3.3, f1 term
logis_f1fa | The first derivative of the density
logis_f2f | DMGS equation 3.3, f2 term
logis_f2fa | The second derivative of the density
logis_fd | First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
logis_fdd | Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
logis_ldd | Second derivative matrix of the normalized log-likelihood
logis_ldda | The second derivative of the normalized log-likelihood
logis_lddd | Third derivative tensor of the normalized log-likelihood
logis_lddda | The third derivative of the normalized log-likelihood
logis_lmn | One component of the second derivative of the normalized log-likelihood
logis_lmnp | One component of the third derivative of the normalized log-likelihood
logis_logf | Logf for RUST
logis_logfdd | Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
logis_logfddd | Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
logis_loglik | log-likelihood function
logis_logscores | Log scores for MLE and RHP predictions calculated using leave-one-out
logis_mu1f | DMGS equation 3.3, mu1 term
logis_mu1fa | Minus the first derivative of the cdf, at alpha
logis_mu2f | DMGS equation 3.3, mu2 term
logis_mu2fa | Minus the second derivative of the cdf, at alpha
logis_p1f | DMGS equation 3.3, p1 term
logis_p1fa | The first derivative of the cdf
logis_p1_cp | Logistic Distribution with a Predictor, Predictions Based on a Calibrating Prior
logis_p1_f1f | DMGS equation 2.1, f1 term
logis_p1_f1fa | The first derivative of the density
logis_p1_f2f | DMGS equation 2.1, f2 term
logis_p1_f2fa | The second derivative of the density
logis_p1_fd | First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
logis_p1_fdd | Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
logis_p1_ldd | Second derivative matrix of the normalized log-likelihood
logis_p1_ldda | The second derivative of the normalized log-likelihood
logis_p1_lddd | Third derivative tensor of the normalized log-likelihood
logis_p1_lddda | The third derivative of the normalized log-likelihood
logis_p1_lmn | One component of the second derivative of the normalized log-likelihood
logis_p1_lmnp | One component of the second derivative of the normalized log-likelihood
logis_p1_logf | Logf for RUST
logis_p1_logfdd | Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
logis_p1_logfddd | Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
logis_p1_loglik | Logistic-with-p1 observed log-likelihood function
logis_p1_logscores | Log scores for MLE and RHP predictions calculated using leave-one-out
logis_p1_means | Logistic distribution: RHP mean
logis_p1_mu1f | DMGS equation 3.3, mu1 term
logis_p1_mu1fa | Minus the first derivative of the cdf, at alpha
logis_p1_mu2f | DMGS equation 3.3, mu2 term
logis_p1_mu2fa | Minus the second derivative of the cdf, at alpha
logis_p1_p1f | DMGS equation 2.1, p1 term
logis_p1_p1fa | The first derivative of the cdf
logis_p1_p2f | DMGS equation 2.1, p2 term
logis_p1_p2fa | The second derivative of the cdf
logis_p1_pd | First derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
logis_p1_pdd | Second derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
logis_p1_predictordata | Predicted Parameter and Generalized Residuals
logis_p1_waic | Waic
logis_p2f | DMGS equation 3.3, p2 term
logis_p2fa | The second derivative of the cdf
logis_pd | First derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
logis_pdd | Second derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
logis_waic | Waic
lst_k3_cp | t Distribution Predictions Based on a Calibrating Prior
lst_k3_f1f | DMGS equation 3.3, f1 term
lst_k3_f1fa | The first derivative of the density
lst_k3_f2f | DMGS equation 3.3, f2 term
lst_k3_f2fa | The second derivative of the density
lst_k3_fd | First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
lst_k3_fdd | Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
lst_k3_ldd | Second derivative matrix of the normalized log-likelihood
lst_k3_ldda | The second derivative of the normalized log-likelihood
lst_k3_lddd | Third derivative tensor of the normalized log-likelihood
lst_k3_lddda | The third derivative of the normalized log-likelihood
lst_k3_lmn | One component of the second derivative of the normalized log-likelihood
lst_k3_lmnp | One component of the third derivative of the normalized log-likelihood
lst_k3_logf | Logf for RUST
lst_k3_logfdd | Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
lst_k3_logfddd | Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
lst_k3_loglik | log-likelihood function
lst_k3_logscores | Log scores for MLE and RHP predictions calculated using leave-one-out
lst_k3_mu1f | DMGS equation 3.3, mu1 term
lst_k3_mu2f | DMGS equation 3.3, mu2 term
lst_k3_p1f | DMGS equation 3.3, p1 term
lst_k3_p2f | DMGS equation 3.3, p2 term
lst_k3_waic | Waic
lst_p1k3_cp | t Distribution with a Predictor, Predictions Based on a Calibrating Prior
lst_p1k3_f1f | DMGS equation 2.1, f1 term
lst_p1k3_f1fa | The first derivative of the density
lst_p1k3_f2f | DMGS equation 2.1, f2 term
lst_p1k3_f2fa | The second derivative of the density
lst_p1k3_fd | First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
lst_p1k3_fdd | Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
lst_p1k3_ldd | Second derivative matrix of the normalized log-likelihood
lst_p1k3_ldda | The second derivative of the normalized log-likelihood
lst_p1k3_lddd | Third derivative tensor of the normalized log-likelihood
lst_p1k3_lddda | The third derivative of the normalized log-likelihood
lst_p1k3_lmn | One component of the second derivative of the normalized log-likelihood
lst_p1k3_lmnp | One component of the second derivative of the normalized log-likelihood
lst_p1k3_logf | Logf for RUST
lst_p1k3_logfdd | Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
lst_p1k3_logfddd | Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
lst_p1k3_loglik | LST-with-p1 observed log-likelihood function
lst_p1k3_logscores | Log scores for MLE and RHP predictions calculated using leave-one-out
lst_p1k3_mu1f | DMGS equation 3.3, mu1 term
lst_p1k3_mu2f | DMGS equation 3.3, mu2 term
lst_p1k3_p1f | DMGS equation 2.1, p1 term
lst_p1k3_p2f | DMGS equation 2.1, p2 term
lst_p1k3_predictordata | Predicted Parameter and Generalized Residuals
lst_p1k3_setics | Set initial conditions
lst_p1k3_waic | Waic

## -- M --

makemuhat0 | Make muhat0
makeq | Calculates quantiles from simulations by inverting the Hazen CDF
maket0 | Determine t0
maketa0 | Make ta0
make_cwaic | Make WAIC
make_maic | Calculate MAIC
make_se | Make Standard Errors from lddi
make_waic | Make WAIC
man | A blank function I use for setting up the man page information
man1f | Return message for f1f, p1f, mu1f
man2f | Return message for f2f, p2f, mu2f
mandsub | Return message for dsub
manf | Blank function I use for setting up the man page information for the functions
manldd | Return message for ldd
manlddd | Return message for lddd
manlnn | Return message for lnn
manlnnn | Return message for lnnn
manlogf | Return message for Logf
manloglik | Return message for loglik
manlogscores | Return message for logscores
manmeans | Return message for means
manpredictor | Return message for predictor.
manvector | Return message for vector
manwaic | Return message for WAIC
movexiawayfromzero | Move xi away from zero a bit
ms_flat_1tail | Illustration of Model Selection Among 10 One Tail Distributions from the 'fitdistcp' Package
ms_flat_2tail | Illustration of Model Selection Among 18 Distributions from the 'fitdistcp' Package
ms_predictors_1tail | Model Selection Among 5 Distributions with predictors from the 'fitdistcp' Package
ms_predictors_2tail | Model Selection Among 6 Distributions with predictors from the 'fitdistcp' Package

## -- N --

nopdfcdfmsg | Message to explain why GEV and GPD 'd***' and 'p***' routines don't return DMGS pdfs and cdfs
norm_cp | Normal Distribution Predictions Based on a Calibrating Prior
norm_dmgs_cp | Normal Distribution Predictions Based on a Calibrating Prior, using DMGS (for testing only)
norm_dmgs_loglik | log-likelihood function
norm_dmgs_logscores | Log scores for MLE and RHP predictions calculated using leave-one-out
norm_dmgs_means | MLE and RHP predictive means
norm_dmgs_mu1f | DMGS equation 3.3, mu1 term
norm_dmgs_mu2f | DMGS equation 3.3, mu2 term
norm_dmgs_p1f | DMGS equation 3.3, p1 term
norm_dmgs_p2f | DMGS equation 3.3, p2 term
norm_dmgs_waic | Waic
norm_f1f | DMGS equation 3.3, f1 term
norm_f1fa | The first derivative of the density
norm_f2f | DMGS equation 3.3, f2 term
norm_f2fa | The second derivative of the density
norm_fd | First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
norm_fdd | Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
norm_gg | Second derivative matrix of the expected per-observation log-likelihood
norm_gmn | One component of the second derivative of the expected log-likelihood
norm_ldd | Second derivative matrix of the normalized log-likelihood
norm_ldda | The second derivative of the normalized log-likelihood
norm_lddd | Third derivative tensor of the normalized log-likelihood
norm_lddda | The third derivative of the normalized log-likelihood
norm_lmn | One component of the second derivative of the normalized log-likelihood
norm_lmnp | One component of the second derivative of the normalized log-likelihood
norm_logf | Logf for RUST
norm_logfdd | Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
norm_logfddd | Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
norm_logscores | Log scores for MLE and RHP predictions calculated using leave-one-out
norm_ml_params | Maximum likelihood estimator
norm_mu1fa | Minus the first derivative of the cdf, at alpha
norm_mu2fa | Minus the second derivative of the cdf, at alpha
norm_p1fa | The first derivative of the cdf
norm_p1_cp | Normal Distribution with a Predictor, Predictions Based on a Calibrating Prior
norm_p1_f1f | DMGS equation 2.1, f1 term
norm_p1_f1fa | The first derivative of the density
norm_p1_f2f | DMGS equation 2.1, f2 term
norm_p1_f2fa | The second derivative of the density
norm_p1_fd | First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
norm_p1_fdd | Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
norm_p1_ldd | Second derivative matrix of the normalized log-likelihood
norm_p1_ldda | The second derivative of the normalized log-likelihood
norm_p1_lddd | Third derivative tensor of the normalized log-likelihood
norm_p1_lddda | The third derivative of the normalized log-likelihood
norm_p1_lmn | One component of the second derivative of the normalized log-likelihood
norm_p1_lmnp | One component of the second derivative of the normalized log-likelihood
norm_p1_logf | Logf for RUST
norm_p1_logfdd | Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
norm_p1_logfddd | Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
norm_p1_loglik | Normal-with-p1 observed log-likelihood function
norm_p1_logscores | Log scores for MLE and RHP predictions calculated using leave-one-out
norm_p1_mlparams | Maximum likelihood estimator
norm_p1_mu1fa | Minus the first derivative of the cdf, at alpha
norm_p1_mu2fa | Minus the second derivative of the cdf, at alpha
norm_p1_p1fa | The first derivative of the cdf
norm_p1_p2fa | The second derivative of the cdf
norm_p1_pd | First derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
norm_p1_pdd | Second derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
norm_p1_predictordata | Predicted Parameter and Generalized Residuals
norm_p1_waic | Waic
norm_p2fa | The second derivative of the cdf
norm_pd | First derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
norm_pdd | Second derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
norm_unbiasedv_params | Method of moments estimator
norm_waic | Waic

## -- P --

pareto_k2_cp | Pareto Distribution Predictions Based on a Calibrating Prior
pareto_k2_f1f | DMGS equation 2.1, f1 term
pareto_k2_f1fa | The first derivative of the density
pareto_k2_f2f | DMGS equation 2.1, f2 term
pareto_k2_f2fa | The second derivative of the density
pareto_k2_fd | First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
pareto_k2_fdd | Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
pareto_k2_l111 | Third derivative of the normalized log-likelihood
pareto_k2_ldd | The second derivative of the normalized log-likelihood
pareto_k2_ldda | The second derivative of the normalized log-likelihood
pareto_k2_lddd | Third derivative tensor of the log-likelihood
pareto_k2_lddda | The third derivative of the normalized log-likelihood
pareto_k2_logf | Logf for RUST
pareto_k2_logfdd | Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
pareto_k2_logfddd | Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
pareto_k2_logscores | Log scores for MLE and RHP predictions calculated using leave-one-out
pareto_k2_ml_params | Maximum likelihood estimator
pareto_k2_mu1fa | Minus the first derivative of the cdf, at alpha
pareto_k2_mu2fa | Minus the second derivative of the cdf, at alpha
pareto_k2_p1fa | The first derivative of the cdf
pareto_k2_p2fa | The second derivative of the cdf
pareto_k2_pd | First derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
pareto_k2_pdd | Second derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
pareto_k2_waic | Waic
pareto_p1k2_cp | Pareto Distribution with a Predictor, Predictions Based on a Calibrating Prior
pareto_p1k2_f1f | DMGS equation 2.1, f1 term
pareto_p1k2_f1fa | The first derivative of the density
pareto_p1k2_f2f | DMGS equation 2.1, f2 term
pareto_p1k2_f2fa | The second derivative of the density
pareto_p1k2_fd | First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
pareto_p1k2_fdd | Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
pareto_p1k2_ldd | Second derivative matrix of the normalized log-likelihood
pareto_p1k2_ldda | The second derivative of the normalized log-likelihood
pareto_p1k2_lddd | Third derivative tensor of the normalized log-likelihood
pareto_p1k2_lddda | The third derivative of the normalized log-likelihood
pareto_p1k2_lmn | One component of the second derivative of the normalized log-likelihood
pareto_p1k2_lmnp | One component of the second derivative of the normalized log-likelihood
pareto_p1k2_logf | Logf for RUST
pareto_p1k2_logfdd | Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
pareto_p1k2_logfddd | Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
pareto_p1k2_loglik | observed log-likelihood function
pareto_p1k2_logscores | Log scores for MLE and RHP predictions calculated using leave-one-out
pareto_p1k2_means | pareto_k1 distribution: RHP mean
pareto_p1k2_mu1f | DMGS equation 3.3, mu1 term
pareto_p1k2_mu1fa | Minus the first derivative of the cdf, at alpha
pareto_p1k2_mu2f | DMGS equation 3.3, mu2 term
pareto_p1k2_mu2fa | Minus the second derivative of the cdf, at alpha
pareto_p1k2_p1f | DMGS equation 2.1, p1 term
pareto_p1k2_p1fa | The first derivative of the cdf
pareto_p1k2_p2f | DMGS equation 2.1, p2 term
pareto_p1k2_p2fa | The second derivative of the cdf
pareto_p1k2_pd | First derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
pareto_p1k2_pdd | Second derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
pareto_p1k2_predictordata | Predicted Parameter and Generalized Residuals
pareto_p1k2_waic | Waic
pcauchy_cp | Cauchy Distribution Predictions Based on a Calibrating Prior
pcauchy_p1 | Cauchy-with-p1 distribution function
pcauchy_p1_cp | Cauchy Distribution with a Predictor, Predictions Based on a Calibrating Prior
pexp_cp | Exponential Distribution Predictions Based on a Calibrating Prior
pexp_p1 | Exponential-with-p1 distribution function
pexp_p1_cp | Exponential Distribution with a Predictor, Predictions Based on a Calibrating Prior
pfrechet_k1_cp | Frechet Distribution Predictions Based on a Calibrating Prior
pfrechet_p2k1 | Frechet_k1-with-p2 distribution function
pfrechet_p2k1_cp | Frechet Distribution with Predictor, Predictions Based on a Calibrating Prior
pgamma_cp | Gamma Distribution Predictions Based on a Calibrating Prior
pgev_cp | Generalized Extreme Value Distribution, Predictions Based on a Calibrating Prior
pgev_k3_cp | Generalized Extreme Value Distribution with Known Shape, Predictions Based on a Calibrating Prior
pgev_p1 | GEVD-with-p1: Distribution function
pgev_p12 | GEVD-with-p1: Distribution function
pgev_p123 | GEVD-with-p1: Distribution function
pgev_p123_cp | Generalized Extreme Value Distribution with Three Predictors, Predictions based on a Calibrating Prior
pgev_p12_cp | Generalized Extreme Value Distribution with Two Predictors, Predictions based on a Calibrating Prior
pgev_p1k3 | GEV-with-known-shape-with-p1 distribution function
pgev_p1k3_cp | GEV Distribution with Known Shape with a Predictor, Predictions Based on a Calibrating Prior
pgev_p1_cp | Generalized Extreme Value Distribution with a Predictor, Predictions Based on a Calibrating Prior
pgnorm_k3_cp | Generalized Normal Distribution Predictions Based on a Calibrating Prior
pgpd_k1_cp | Generalized Pareto Distribution with Known Location Parameter, Predictions Based on a Calibrating Prior
pgumbel_cp | Gumbel Distribution Predictions Based on a Calibrating Prior
pgumbel_p1 | Gumbel-with-p1 distribution function
pgumbel_p1_cp | Gumbel Distribution with a Predictor, Predictions Based on a Calibrating Prior
phalfnorm_cp | Half-Normal Distribution Predictions Based on a Calibrating Prior
pinvgamma_cp | Inverse Gamma Distribution, Predictions Based on a Calibrating Prior
pinvgauss_cp | Inverse Gauss Distribution, Predictions Based on a Calibrating Prior
plnorm_cp | Log-normal Distribution Predictions Based on a Calibrating Prior
plnorm_dmgs_cp | Log-normal Distribution Predictions Based on a Calibrating Prior, using DMGS (for testing only)
plnorm_p1 | Normal-with-p1 distribution function
plnorm_p1_cp | Log-normal Distribution with a Predictor, Predictions Based on a Calibrating Prior
plogis_cp | Logistic Distribution Predictions Based on a Calibrating Prior
plogis_p1 | Logistic-with-p1 distribution function
plogis_p1_cp | Logistic Distribution with a Predictor, Predictions Based on a Calibrating Prior
plst_k3_cp | t Distribution Predictions Based on a Calibrating Prior
plst_p1k3 | LST-with-p1 distribution function
plst_p1k3_cp | t Distribution with a Predictor, Predictions Based on a Calibrating Prior
pnorm_cp | Normal Distribution Predictions Based on a Calibrating Prior
pnorm_dmgs_cp | Normal Distribution Predictions Based on a Calibrating Prior, using DMGS (for testing only)
pnorm_p1 | Normal-with-p1 distribution function
pnorm_p1_cp | Normal Distribution with a Predictor, Predictions Based on a Calibrating Prior
pnorm_p1_formula | Linear regression formula, densities
ppareto_k2_cp | Pareto Distribution Predictions Based on a Calibrating Prior
ppareto_p1k2 | pareto_k1-with-p2 distribution function
ppareto_p1k2_cp | Pareto Distribution with a Predictor, Predictions Based on a Calibrating Prior
punif_cp | Uniform Distribution Predictions Based on a Calibrating Prior
punif_formula | Predictive CDFs
pweibull_cp | Weibull Distribution Predictions Based on a Calibrating Prior
pweibull_p2 | Weibull-with-p1 distribution function
pweibull_p2_cp | weibull Distribution with a Predictor on the Scale Parameter, Predictions Based on a Calibrating Prior

## -- Q --

qcauchy_cp | Cauchy Distribution Predictions Based on a Calibrating Prior
qcauchy_p1 | Cauchy-with-p1 quantile function
qcauchy_p1_cp | Cauchy Distribution with a Predictor, Predictions Based on a Calibrating Prior
qexp_cp | Exponential Distribution Predictions Based on a Calibrating Prior
qexp_p1 | -with-p1 quantile function
qexp_p1_cp | Exponential Distribution with a Predictor, Predictions Based on a Calibrating Prior
qfrechet_k1_cp | Frechet Distribution Predictions Based on a Calibrating Prior
qfrechet_p2k1 | Frechet_k1-with-p2 quantile function
qfrechet_p2k1_cp | Frechet Distribution with Predictor, Predictions Based on a Calibrating Prior
qgamma_cp | Gamma Distribution Predictions Based on a Calibrating Prior
qgamma_k1_ppm | Temporary dummy for one of the cp models
qgamma_ppm | Temporary dummy for one of the ppm models
qgev_cp | Generalized Extreme Value Distribution, Predictions Based on a Calibrating Prior
qgev_k12_ppm | Temporary dummy for one of the ppm models
qgev_k3_cp | Generalized Extreme Value Distribution with Known Shape, Predictions Based on a Calibrating Prior
qgev_mpd_ppm | Temporary dummy for one of the ppm models
qgev_p1 | GEVD-with-p1: Quantile function
qgev_p12 | GEVD-with-p1: Quantile function
qgev_p123 | GEVD-with-p1: Quantile function
qgev_p123_cp | Generalized Extreme Value Distribution with Three Predictors, Predictions based on a Calibrating Prior
qgev_p12_cp | Generalized Extreme Value Distribution with Two Predictors, Predictions based on a Calibrating Prior
qgev_p1k3 | GEV-with-known-shape-with-p1 quantile function
qgev_p1k3_cp | GEV Distribution with Known Shape with a Predictor, Predictions Based on a Calibrating Prior
qgev_p1_cp | Generalized Extreme Value Distribution with a Predictor, Predictions Based on a Calibrating Prior
qgev_p1_ppm | Temporary dummy for one of the ppm models
qgev_ppm | Temporary dummy for one of the ppm models
qgnorm_k3_cp | Generalized Normal Distribution Predictions Based on a Calibrating Prior
qgpd_k1_cp | Generalized Pareto Distribution with Known Location Parameter, Predictions Based on a Calibrating Prior
qgpd_k1_ppm | Temporary dummy for one of the ppm models
qgumbel_cp | Gumbel Distribution Predictions Based on a Calibrating Prior
qgumbel_p1 | Gumbel-with-p1 quantile function
qgumbel_p1_cp | Gumbel Distribution with a Predictor, Predictions Based on a Calibrating Prior
qhalfnorm_cp | Half-Normal Distribution Predictions Based on a Calibrating Prior
qinvgamma_cp | Inverse Gamma Distribution, Predictions Based on a Calibrating Prior
qinvgauss_cp | Inverse Gauss Distribution, Predictions Based on a Calibrating Prior
qlnorm_cp | Log-normal Distribution Predictions Based on a Calibrating Prior
qlnorm_dmgs_cp | Log-normal Distribution Predictions Based on a Calibrating Prior, using DMGS (for testing only)
qlnorm_p1 | Normal-with-p1 quantile function
qlnorm_p1_cp | Log-normal Distribution with a Predictor, Predictions Based on a Calibrating Prior
qlogis_cp | Logistic Distribution Predictions Based on a Calibrating Prior
qlogis_p1 | Logistic-with-p1 quantile function
qlogis_p1_cp | Logistic Distribution with a Predictor, Predictions Based on a Calibrating Prior
qlst_k3_cp | t Distribution Predictions Based on a Calibrating Prior
qlst_p1k3 | LST-with-p1 quantile function
qlst_p1k3_cp | t Distribution with a Predictor, Predictions Based on a Calibrating Prior
qnorm_cp | Normal Distribution Predictions Based on a Calibrating Prior
qnorm_dmgs_cp | Normal Distribution Predictions Based on a Calibrating Prior, using DMGS (for testing only)
qnorm_p1 | Normal-with-p1 quantile function
qnorm_p1_cp | Normal Distribution with a Predictor, Predictions Based on a Calibrating Prior
qnorm_p1_formula | Linear regression formula, quantiles
qntt_ppm | Temporary dummy for one of the ppm models
qpareto_k2_cp | Pareto Distribution Predictions Based on a Calibrating Prior
qpareto_p1k2 | pareto_k1-with-p2 quantile function
qpareto_p1k2_cp | Pareto Distribution with a Predictor, Predictions Based on a Calibrating Prior
qunif_cp | Uniform Distribution Predictions Based on a Calibrating Prior
qunif_formula | Predictive Quantiles
qweibull_cp | Weibull Distribution Predictions Based on a Calibrating Prior
qweibull_p2 | Weibull-with-p1 quantile function
qweibull_p2_cp | weibull Distribution with a Predictor on the Scale Parameter, Predictions Based on a Calibrating Prior

## -- R --

rcauchy_cp | Cauchy Distribution Predictions Based on a Calibrating Prior
rcauchy_p1_cp | Cauchy Distribution with a Predictor, Predictions Based on a Calibrating Prior
reltest | Evaluation of Reliability for Models in the 'fitdistcp' Package
reltest2 | Evaluation of Reliability for Certain Additional Models in the 'fitdistcp' Package
reltest2_cases | Cases
reltest2_makeep | Cases
reltest2_plot | Plotting routine for reltest2
reltest2_predict | Make prediction from one model
reltest2_simulate | Random training data from one model
reltest_makeep | Calculate EP from one model
reltest_makemaxep | Calculate MaxEP from one model
reltest_predict | Make prediction from one model
reltest_simulate | Random training data from one model
rexp_cp | Exponential Distribution Predictions Based on a Calibrating Prior
rexp_p1_cp | Exponential Distribution with a Predictor, Predictions Based on a Calibrating Prior
rfrechet_k1_cp | Frechet Distribution Predictions Based on a Calibrating Prior
rfrechet_p2k1_cp | Frechet Distribution with Predictor, Predictions Based on a Calibrating Prior
rgamma_cp | Gamma Distribution Predictions Based on a Calibrating Prior
rgev_cp | Generalized Extreme Value Distribution, Predictions Based on a Calibrating Prior
rgev_k3_cp | Generalized Extreme Value Distribution with Known Shape, Predictions Based on a Calibrating Prior
rgev_minmax | rgev but with maxlik xi guaranteed within bounds
rgev_p123_cp | Generalized Extreme Value Distribution with Three Predictors, Predictions based on a Calibrating Prior
rgev_p123_minmax | rgev for gev_p123 but with maxlik xi within bounds
rgev_p12_cp | Generalized Extreme Value Distribution with Two Predictors, Predictions based on a Calibrating Prior
rgev_p12_minmax | rgev for gev_p12 but with maxlik xi within bounds
rgev_p1k3_cp | GEV Distribution with Known Shape with a Predictor, Predictions Based on a Calibrating Prior
rgev_p1_cp | Generalized Extreme Value Distribution with a Predictor, Predictions Based on a Calibrating Prior
rgev_p1_minmax | rgev for gev_p1 but with maxlik xi within bounds
rgnorm_k3_cp | Generalized Normal Distribution Predictions Based on a Calibrating Prior
rgpd_k1_cp | Generalized Pareto Distribution with Known Location Parameter, Predictions Based on a Calibrating Prior
rgpd_k1_minmax | rgpd for gpd_k1 but with maxlik xi within bounds
rgumbel_cp | Gumbel Distribution Predictions Based on a Calibrating Prior
rgumbel_p1_cp | Gumbel Distribution with a Predictor, Predictions Based on a Calibrating Prior
rhalfnorm_cp | Half-Normal Distribution Predictions Based on a Calibrating Prior
rhp_dmgs_cpmethod | Generates a comment about the method
rinvgamma_cp | Inverse Gamma Distribution, Predictions Based on a Calibrating Prior
rinvgauss_cp | Inverse Gauss Distribution, Predictions Based on a Calibrating Prior
rlnorm_cp | Log-normal Distribution Predictions Based on a Calibrating Prior
rlnorm_dmgs_cp | Log-normal Distribution Predictions Based on a Calibrating Prior, using DMGS (for testing only)
rlnorm_p1_cp | Log-normal Distribution with a Predictor, Predictions Based on a Calibrating Prior
rlogis_cp | Logistic Distribution Predictions Based on a Calibrating Prior
rlogis_p1_cp | Logistic Distribution with a Predictor, Predictions Based on a Calibrating Prior
rlst_k3_cp | t Distribution Predictions Based on a Calibrating Prior
rlst_p1k3_cp | t Distribution with a Predictor, Predictions Based on a Calibrating Prior
rnorm_cp | Normal Distribution Predictions Based on a Calibrating Prior
rnorm_dmgs_cp | Normal Distribution Predictions Based on a Calibrating Prior, using DMGS (for testing only)
rnorm_p1_cp | Normal Distribution with a Predictor, Predictions Based on a Calibrating Prior
rpareto_k2_cp | Pareto Distribution Predictions Based on a Calibrating Prior
rpareto_p1k2_cp | Pareto Distribution with a Predictor, Predictions Based on a Calibrating Prior
runif_cp | Uniform Distribution Predictions Based on a Calibrating Prior
rust_pumethod | Generates a comment about the method
rweibull_cp | Weibull Distribution Predictions Based on a Calibrating Prior
rweibull_p2_cp | weibull Distribution with a Predictor on the Scale Parameter, Predictions Based on a Calibrating Prior

## -- T --

tcauchy_cp | Cauchy Distribution Predictions Based on a Calibrating Prior
tcauchy_p1_cp | Cauchy Distribution with a Predictor, Predictions Based on a Calibrating Prior
testppm_plot | Plotting routine for testppm
texp_cp | Exponential Distribution Predictions Based on a Calibrating Prior
texp_p1_cp | Exponential Distribution with a Predictor, Predictions Based on a Calibrating Prior
tfrechet_k1_cp | Frechet Distribution Predictions Based on a Calibrating Prior
tfrechet_p2k1_cp | Frechet Distribution with Predictor, Predictions Based on a Calibrating Prior
tgamma_cp | Gamma Distribution Predictions Based on a Calibrating Prior
tgev_cp | Generalized Extreme Value Distribution, Predictions Based on a Calibrating Prior
tgev_k3_cp | Generalized Extreme Value Distribution with Known Shape, Predictions Based on a Calibrating Prior
tgev_p123_cp | Generalized Extreme Value Distribution with Three Predictors, Predictions based on a Calibrating Prior
tgev_p12_cp | Generalized Extreme Value Distribution with Two Predictors, Predictions based on a Calibrating Prior
tgev_p1k3_cp | GEV Distribution with Known Shape with a Predictor, Predictions Based on a Calibrating Prior
tgev_p1_cp | Generalized Extreme Value Distribution with a Predictor, Predictions Based on a Calibrating Prior
tgnorm_k3_cp | Generalized Normal Distribution Predictions Based on a Calibrating Prior
tgpd_k1_cp | Generalized Pareto Distribution with Known Location Parameter, Predictions Based on a Calibrating Prior
tgumbel_cp | Gumbel Distribution Predictions Based on a Calibrating Prior
tgumbel_p1_cp | Gumbel Distribution with a Predictor, Predictions Based on a Calibrating Prior
thalfnorm_cp | Half-Normal Distribution Predictions Based on a Calibrating Prior
tinvgamma_cp | Inverse Gamma Distribution, Predictions Based on a Calibrating Prior
tinvgauss_cp | Inverse Gauss Distribution, Predictions Based on a Calibrating Prior
tlnorm_cp | Log-normal Distribution Predictions Based on a Calibrating Prior
tlnorm_p1_cp | Log-normal Distribution with a Predictor, Predictions Based on a Calibrating Prior
tlogis_cp | Logistic Distribution Predictions Based on a Calibrating Prior
tlogis_p1_cp | Logistic Distribution with a Predictor, Predictions Based on a Calibrating Prior
tlst_k3_cp | t Distribution Predictions Based on a Calibrating Prior
tlst_p1k3_cp | t Distribution with a Predictor, Predictions Based on a Calibrating Prior
tnorm_cp | Normal Distribution Predictions Based on a Calibrating Prior
tnorm_p1_cp | Normal Distribution with a Predictor, Predictions Based on a Calibrating Prior
tpareto_k2_cp | Pareto Distribution Predictions Based on a Calibrating Prior
tpareto_p1k2_cp | Pareto Distribution with a Predictor, Predictions Based on a Calibrating Prior
tweibull_cp | Weibull Distribution Predictions Based on a Calibrating Prior
tweibull_p2_cp | weibull Distribution with a Predictor on the Scale Parameter, Predictions Based on a Calibrating Prior

## -- U --

unif_cp | Uniform Distribution Predictions Based on a Calibrating Prior

## -- W --

weibull_cp | Weibull Distribution Predictions Based on a Calibrating Prior
weibull_f1f | DMGS equation 3.3, f1 term
weibull_f1fa | The first derivative of the density
weibull_f2f | DMGS equation 3.3, f2 term
weibull_f2fa | The second derivative of the density
weibull_fd | First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
weibull_fdd | Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
weibull_ldd | Second derivative matrix of the normalized log-likelihood
weibull_ldda | The second derivative of the normalized log-likelihood
weibull_lddd | Third derivative tensor of the normalized log-likelihood
weibull_lddda | The third derivative of the normalized log-likelihood
weibull_lmn | One component of the second derivative of the normalized log-likelihood
weibull_lmnp | One component of the third derivative of the normalized log-likelihood
weibull_logf | Logf for RUST
weibull_logfdd | Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
weibull_logfddd | Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
weibull_loglik | log-likelihood function
weibull_logscores | Log scores for MLE and RHP predictions calculated using leave-one-out
weibull_means | MLE and RHP predictive means
weibull_mu1f | DMGS equation 3.3, mu1 term
weibull_mu1fa | Minus the first derivative of the cdf, at alpha
weibull_mu2f | DMGS equation 3.3, mu2 term
weibull_mu2fa | Minus the second derivative of the cdf, at alpha
weibull_p1f | DMGS equation 3.3, p1 term
weibull_p1fa | The first derivative of the cdf
weibull_p2f | DMGS equation 3.3, p2 term
weibull_p2fa | The second derivative of the cdf
weibull_p2_cp | weibull Distribution with a Predictor on the Scale Parameter, Predictions Based on a Calibrating Prior
weibull_p2_f1f | DMGS equation 2.1, f1 term
weibull_p2_f1fa | The first derivative of the density
weibull_p2_f2f | DMGS equation 2.1, f2 term
weibull_p2_f2fa | The second derivative of the density
weibull_p2_fd | First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
weibull_p2_fdd | Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
weibull_p2_ldd | Second derivative matrix of the normalized log-likelihood
weibull_p2_ldda | The second derivative of the normalized log-likelihood
weibull_p2_lddd | Third derivative tensor of the normalized log-likelihood
weibull_p2_lddda | The third derivative of the normalized log-likelihood
weibull_p2_lmn | One component of the second derivative of the normalized log-likelihood
weibull_p2_lmnp | One component of the second derivative of the normalized log-likelihood
weibull_p2_logf | Logf for RUST
weibull_p2_logfdd | Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
weibull_p2_logfddd | Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
weibull_p2_loglik | observed log-likelihood function
weibull_p2_logscores | Log scores for MLE and RHP predictions calculated using leave-one-out
weibull_p2_means | weibull distribution: RHP mean
weibull_p2_mu1f | DMGS equation 3.3, mu1 term
weibull_p2_mu1fa | Minus the first derivative of the cdf, at alpha
weibull_p2_mu2f | DMGS equation 3.3, mu2 term
weibull_p2_mu2fa | Minus the second derivative of the cdf, at alpha
weibull_p2_p1f | DMGS equation 2.1, p1 term
weibull_p2_p1fa | The first derivative of the cdf
weibull_p2_p2f | DMGS equation 2.1, p2 term
weibull_p2_p2fa | The second derivative of the cdf
weibull_p2_pd | First derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
weibull_p2_pdd | Second derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
weibull_p2_predictordata | Predicted Parameter and Generalized Residuals
weibull_p2_waic | Waic
weibull_pd | First derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
weibull_pdd | Second derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol
weibull_waic | Waic for RUST