# Bayesian Dynamic Systems Modeling

## Documentation for package ‘bdsm’ version 0.2.1

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

best_models | Table with the best models according to one of the posterior criteria
bma | Calculation of the bma object
coef_hist | Graphs of the distribution of the coefficients over the model space
compute_model_space_stats | Approximate standard deviations for the models
economic_growth | Economic Growth Data
exogenous_matrix | Matrix with exogenous variables for SEM representation
feature_standardization | Perform feature standardization
full_model_space | Example output of the optim_model_space function
hessian | Hessian matrix
init_model_space_params | Initialize model space matrix
jointness | Calculation of of the jointness measures
join_lagged_col | Dataframe with no lagged column
matrices_from_df | List of matrices for SEM model
model_pmp | Graphs of the prior and posterior model probabilities for the best individual models
model_sizes | Graphs of the prior and posterior model probabilities of the model sizes
optim_model_space | Calculation of the model_space object
optim_model_space_params | Finds MLE parameters for each model in the given model space
original_economic_growth | Economic Growth Data in the original format
regressor_names_from_params_vector | Helper function to extract names from a vector defining a model
residual_maker_matrix | Residual Maker Matrix
sem_B_matrix | Coefficients matrix for SEM representation
sem_C_matrix | Coefficients matrix for initial conditions
sem_dep_var_matrix | Matrix with dependent variable data for SEM representation
sem_likelihood | Likelihood for the SEM model
sem_psi_matrix | Matrix with psi parameters for SEM representation
sem_regressors_matrix | Matrix with regressors data for SEM representation
sem_sigma_matrix | Covariance matrix for SEM representation
small_model_space | Example output of the optim_model_space function (small version)