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
extract_names           Extraction of names of the variables
feature_standardization
                        Perform feature standardization
full_bma_results        Example output of the bma function
full_model_space        Example output of 'optim_model_space'
hessian                 Hessian matrix
init_model_space_params
                        Initialize model space matrix
join_lagged_col         Dataframe with no lagged column
jointness               Calculation of of the jointness measures
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
model_space_nonnested   Example output of 'optim_model_space' for
                        non-nested models
nested_optimization_wrapper
                        Helper-function - finds parameters minimizing
                        log-likelihood function for the nested version
                        of the SEM setup, using BFGS method
nested_std_dev_from_params
                        Helper function - wraps single execution of the
                        log-likelihood & deviation parameters
                        calculations. Used for non nested version of
                        SEM likelihood.
non_nested_optimization_wrapper
                        Helper-function - finds parameters minimizing
                        log-likelihood function for the non-nested
                        version of the SEM setup, using BFGS method
non_nested_std_dev_from_params
                        Helper function - wraps single execution of the
                        log-likelihood & deviation parameters
                        calculations. Used for non nested version of
                        SEM likelihood.
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
posterior_dens          Graphs of the posterior densities of the
                        coefficients
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 'optim_model_space' (small
                        version)
