All functions
bvar_build_X	Build X matrix from supplied data
bvar_build_Y	Build Y matrix from supplied data
bvar_conj_delta	Create [m x 1] vector of deltas from delta description
bvar_conj_dummy2hyper	Calculate hyperparameters from artificial observations
bvar_conj_estimate	Estimate bvar conjugate model from setup
bvar_conj_forecast	predict with conjugate Normal-Inverse-Wishart bayesian VAR model
bvar_conj_hyper2dummy	Calculate artificial observations from hyperparameters
bvar_conj_lambda2dummy	Create dummy observations from lambdas
bvar_conj_lambda2hyper	Create prior hyperparameters from lambdas
bvar_conj_mdd	Calculate log marginal data density
bvar_conj_setup	Create model setup from lambdas
bvar_conj_sigma2	Create [m x 1] vector of sigma^2 from supplied time series
bvar_conj_simulate	Simulate from conjugate N-IW posterior distribution
bvar_conj_summary	summary of a conjugate Normal-Inverse-Wishart bayesian VAR model
bvar_conjugate0	Estimate conjugate Normal-Inverse-Wishart bayesian VAR model
bvar_create_X_colnames	Get X column names from exo_varnames and endo_varnames
bvar_get_endo_varnames	Get endogeneous variable names from supplied data
bvar_get_exo_varnames	Get exogeneous variable names from supplied data
bvar_get_Y_in	Recover original Y_in from Y, X and number of lags p
Carriero_priors	Set conjugate N-IW priors from lambdas as in Carriero
forecast_conjugate	predict with conjugate Normal-Inverse-Wishart bayesian VAR model
is.diagonal	check whether matrix is diagonal
KK_code_priors	Set conjugate N-IW priors as in matlab code of Koops-Korobilis
lmvgamma	Multivariate log-gamma-function
macro_russia	Russian macroeconomic indicators data.frame
marginal_data_density	Calculate log marginal data density
summary_conjugate	summary of a conjugate Normal-Inverse-Wishart bayesian VAR model
sym_inv	Compute inverse of symmetric positive definite matrix using Cholesky decomposition
Yraw	US inflation, employement and interest rate data.frame