BayesianDFM | A package for running a Bayesian DFM |
bvar_jeff | Draws posterior of VAR(p) Model with non-informative prior |
comp_f_state | Construct companion matrix for VAR(p) model |
create_inventory | Create an inventory for time series |
data | Stock and Flow list of indicators. |
dat_final | List of indicators. |
draw_lam | Draw factor loadings from their conditional posterior |
draw_sig | Draw variance of idiosyncratic components from inverse gamma... |
get_ic | Find optimal number of factors in a factor model. |
get_nowcast | Get nowcast from the bayesian DFM |
inventory | Descriptive Statistics of indicators. |
metadata | Metadata of indicators. |
multimove_gibbs | Draws factor conditional on parameters |
out | Results of the model. |
prepare_data | Prepare time series data for usage |
run_model | Get nowcast from the bayesian DFM |
Xmat | Matrix of relvant indicators in time series format. |
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