Bayesian Averaging for Dynamic Panels

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Documentation for package ‘badp’ version 0.7.0

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

Help Pages

best_models	Best Models by Posterior Model Probability
bma	Bayesian Model Averaging over a Model Space
bma_table	Extract the BMA Statistics Table
bma_table.badp_bma	Extract the BMA Statistics Table
coef.badp_bma	Extract Posterior Statistics from Bayesian Model Averaging Results
coef.badp_model	Coefficients of a Single Model
coef_hist	Histograms of the Coefficients over the Model Space
compute_model_space_stats	Statistics and Standard Deviations for the Model Space
convergence	Per-Model Convergence Diagnostics
convergence.badp_model_space	Per-Model Convergence Diagnostics
economic_growth	Economic Growth Data
feature_standardization	Perform Feature Standardization
full_bma_results	Example Bayesian Model Averaging Results
full_model_space	Example Model Space
jointness	Bivariate Jointness Measures
join_lagged_col	Merge a Lagged Column into a Single Column
learning_rate	Marginal-Likelihood Weighting Used
learning_rate.badp_bma	Marginal-Likelihood Weighting Used
migration_data	Migration Data in the Original Format
migration_model_space	Example Model Space for the Migration Data
migration_model_space_nonnested	Example Non-Nested Model Space for the Migration Data
model_pmp	Graphs of the Prior and Posterior Probabilities of Individual Models
model_sizes	Graphs of the Prior and Posterior Probabilities of Model Sizes
model_size_table	Extract the Prior and Posterior Model Sizes
model_size_table.badp_bma	Extract the Prior and Posterior Model Sizes
model_space_nonnested	Example Model Space for Non-Nested Models
n_models	Size of the Model Space
n_models.badp_bma	Size of the Model Space
n_models.badp_model_space	Size of the Model Space
optim_model_space	Estimate the Model Space
optim_model_space_params	Maximum Likelihood Parameters for Every Model in the Model Space
original_economic_growth	Economic Growth Data in the Original Format
pip	Extract Posterior Inclusion Probabilities
pip.badp_bma	Extract Posterior Inclusion Probabilities
plot.badp_best_models	Plot a Best-Models Selection
plot.badp_bma	Plot Bayesian Model Averaging Results
pmp	Extract Posterior Model Probabilities
pmp.badp_bma	Extract Posterior Model Probabilities
posterior_dens	Kernel Densities of the Coefficients
print.badp_best_models	Print a Best-Models Selection
print.badp_bma	Print Bayesian Model Averaging Results
print.badp_bma_coef	Print Coefficient Tables from Bayesian Model Averaging
print.badp_model	Print a Single Model
print.badp_model_space	Print Model Space Object
print.badp_plots	Print a Collection of Plots
print.summary.badp_best_models	Print the Summary of a Best-Models Selection
print.summary.badp_bma	Print Summary of Bayesian Model Averaging Results
print.summary.badp_model	Print the Summary of a Single Model
print.summary.badp_model_space	Print Summary of a Model Space Object
regressors	Names of the Regressors
regressors.badp_bma	Names of the Regressors
regressors.badp_model_space	Names of the Regressors
sem_likelihood	Likelihood for the SEM Model
small_model_space	Example Model Space (Small Version)
summary.badp_best_models	Summarize a Best-Models Selection
summary.badp_bma	Summarize Bayesian Model Averaging Results
summary.badp_model	Summarize a Single Model
summary.badp_model_space	Summarize a Model Space Object
weighting	Marginal-Likelihood Weighting Used
weighting.badp_bma	Marginal-Likelihood Weighting Used
[.badp_best_models	Subset a Best-Models Selection