# Estimation of Model-Based Predictions, Contrasts and Means

## Documentation for package ‘modelbased’ version 0.13.1

- DESCRIPTION file.
- Package NEWS.

## Help Pages

as.data.frame.estimate_contrasts | Converting modelbased-objects into raw data frames
coffee_data | Sample dataset from a course about analysis of factorial designs
describe_nonlinear | Describe the smooth term (for GAMs) or non-linear predictors
describe_nonlinear.data.frame | Describe the smooth term (for GAMs) or non-linear predictors
display.estimate_contrasts | Printing modelbased-objects
efc | Sample dataset from the EFC Survey
estimate_contrasts | Estimate Marginal Contrasts
estimate_contrasts.default | Estimate Marginal Contrasts
estimate_expectation | Model-based predictions
estimate_grouplevel | Group-specific parameters of mixed models random effects
estimate_grouplevel.brmsfit | Group-specific parameters of mixed models random effects
estimate_grouplevel.default | Group-specific parameters of mixed models random effects
estimate_link | Model-based predictions
estimate_means | Estimate Marginal Means (Model-based average at each factor level)
estimate_prediction | Model-based predictions
estimate_relation | Model-based predictions
estimate_slopes | Estimate Marginal Effects
estimate_smooth | Describe the smooth term (for GAMs) or non-linear predictors
find_inversions | Find zero-crossings and inversion points
fish | Sample data set
format.estimate_contrasts | Printing modelbased-objects
get_emcontrasts | Consistent API for 'emmeans' and 'marginaleffects'
get_emmeans | Consistent API for 'emmeans' and 'marginaleffects'
get_emtrends | Consistent API for 'emmeans' and 'marginaleffects'
get_marginalcontrasts | Consistent API for 'emmeans' and 'marginaleffects'
get_marginalmeans | Consistent API for 'emmeans' and 'marginaleffects'
get_marginaltrends | Consistent API for 'emmeans' and 'marginaleffects'
modelbased-options | Global options from the modelbased package
plot.estimate_means | Automated plotting for 'modelbased' objects
plot.estimate_predicted | Automated plotting for 'modelbased' objects
pool_contrasts | Pool contrasts and comparisons from 'estimate_contrasts()'
pool_predictions | Pool Predictions and Estimated Marginal Means
pool_slopes | Pool Predictions and Estimated Marginal Means
print.estimate_contrasts | Printing modelbased-objects
puppy_love | More puppy therapy data
reshape_grouplevel | Group-specific parameters of mixed models random effects
reshape_grouplevel.estimate_grouplevel | Group-specific parameters of mixed models random effects
residualize_over_grid | Compute partial residuals from a data grid
residualize_over_grid.data.frame | Compute partial residuals from a data grid
smoothing | Smoothing a vector or a time series
tinyplot.estimate_means | Automated plotting for 'modelbased' objects
visualisation_recipe.estimate_grouplevel | Automated plotting for 'modelbased' objects
visualisation_recipe.estimate_predicted | Automated plotting for 'modelbased' objects
visualisation_recipe.estimate_slopes | Automated plotting for 'modelbased' objects
zero_crossings | Find zero-crossings and inversion points