Man pages for bdsm
Bayesian Dynamic Systems Modeling

best_modelsTable with the best models according to one of the posterior...
bmaCalculation of the bma object
bma_summarySummary of a model space
coef_histGraphs of the distribution of the coefficients over the model...
data_prepPerform standardization of variables and prepears fixed...
economic_growthEconomic Growth Data
economic_growth_bma_paramsExample Approximate Summary of Parameters of Interest Based...
economic_growth_liksExample Approximate Likelihoods Summary based on Model Space
economic_growth_msExample Model Space
economic_growth_ms_full_proj_constFull Model Space with Constant Projection Matrix
economic_growth_ms_full_proj_varFull Model Space with Varying Projection Matrix
exogenous_matrixMatrix with exogenous variables for SEM representation
feature_standardizationPerform feature standarization
hessianHessian matrix
initialize_model_spaceInitialize model space matrix
join_lagged_colDataframe with no lagged column
jointnessCalculation of of the jointness measures
likelihoods_summaryApproximate standard deviations for the models
matrices_from_dfList of matrices for SEM model
model_pmpGraphs of the prior and posterior model probabilities for the...
model_sizesGraphs of the prior and posterior model probabilities of the...
optimal_model_spaceFinds MLE parameters for each model in the given model space
parameters_summaryBMA summary for parameters of interest
regressor_names_from_params_vectorHelper function to extract names from a vector defining a...
residual_maker_matrixResidual Maker Matrix
SEM_B_matrixCoefficients matrix for SEM representation
SEM_C_matrixCoefficients matrix for initial conditions
SEM_dep_var_matrixMatrix with dependent variable data for SEM representation
SEM_likelihoodLikelihood for the SEM model
SEM_psi_matrixMatrix with psi parameters for SEM representation
SEM_regressors_matrixMatrix with regressors data for SEM representation
SEM_sigma_matrixCovariance matrix for SEM representation
bdsm documentation built on April 4, 2025, 1:06 a.m.