Bayesian Dynamic Systems Modeling
Table with the best models according to one of the posterior criteria
Calculation of the bma object
Graphs of the distribution of the coefficients over the model space
Approximate standard deviations for the models
Matrix with exogenous variables for SEM representation
Perform feature standardization
Hessian matrix
Initialize model space matrix
Dataframe with no lagged column
Calculation of of the jointness measures
List of matrices for SEM model
Graphs of the prior and posterior model probabilities for the best ind...
Graphs of the prior and posterior model probabilities of the model siz...
Finds MLE parameters for each model in the given model space
Calculation of the model_space object
Helper function to extract names from a vector defining a model
Residual Maker Matrix
Coefficients matrix for SEM representation
Coefficients matrix for initial conditions
Matrix with dependent variable data for SEM representation
Likelihood for the SEM model
Matrix with psi parameters for SEM representation
Matrix with regressors data for SEM representation
Covariance matrix for SEM representation
Implements methods for building and analyzing models based on panel data as described in the paper by Moral-Benito (2013, <doi:10.1080/07350015.2013.818003>). The package provides functions to estimate dynamic panel data models and analyze the results of the estimation.