add_priors | Add Priors to Bayesian Models A generic function used to generate prior specifications for a list of models. The function invokes particular methods which depend on the class of the first argument. |
add_priors.bvarmodel | Add Priors for a Vector Autoregressive Models |
add_priors.bvecmodel | Add Priors for Vector Error Correction Models |
add_priors.dfmodel | Add Priors to Dynamic Factor Model |
bem_dfmdata | FRED-QD data |
bvar | Bayesian Vector Autoregression Objects |
bvarpost | Posterior Simulation for BVAR Models |
bvec | Bayesian Vector Error Correction Objects |
bvecpost | Posterior Simulation for BVEC Models |
bvec_to_bvar | Transform a VEC Model to a VAR in Levels |
bvs | Bayesian Variable Selection |
dfm | Bayesian Dynamic Factor Model Objects |
dfmpost | Posterior Simulation for Dynamic Factor Models |
draw_posterior | Posterior Simulation |
draw_posterior.bvarmodel | Posterior Simulation |
draw_posterior.bvecmodel | Posterior Simulation for Vector Error Correction Models |
draw_posterior.dfmodel | Posterior Simulation |
e1 | West German economic time series data |
e6 | German interest and inflation rate data |
fevd | Forecast Error Variance Decomposition A generic function used to calculate forecast error varianc decompositions. |
fevd.bvar | Forecast Error Variance Decomposition |
gen_dfm | Dynamic Factor Model Input |
gen_var | Vector Autoregressive Model Input |
gen_vec | Vector Error Correction Model Input |
inclusion_prior | Prior Inclusion Probabilities |
irf | Impulse Response Function A generic function used to calculate impulse response functions. |
irf.bvar | Impulse Response Function |
kalman_dk | Durbin and Koopman Simulation Smoother |
loglik_normal | Calculates the log-likelihood of a multivariate normal distribution. |
minnesota_prior | Minnesota Prior |
plot.bvar | Bayesian Vector Autoregression Objects |
plot.bvarfevd | Forecast Error Variance Decomposition A generic function used to calculate forecast error varianc decompositions. |
plot.bvarirf | Impulse Response Function A generic function used to calculate impulse response functions. |
plot.bvarlist | Plotting Posterior Draws of Bayesian VAR or VEC Models |
plot.bvarprd | Plotting Forecasts of BVAR Models |
plot.bvec | Bayesian Vector Error Correction Objects |
plot.dfm | Bayesian Dynamic Factor Model Objects |
post_coint_kls | Posterior Draw for Cointegration Models |
post_coint_kls_sur | Posterior Draw for Cointegration Models |
post_normal | Posterior Draw from a Normal Distribution |
post_normal_covar_const | Posterior Simulation of Error Covariance Coefficients |
post_normal_covar_tvp | Posterior Simulation of Error Covariance Coefficients |
post_normal_sur | Posterior Draw from a Normal Distribution |
predict.bvar | Bayesian Vector Autoregression Objects |
print.summary.bvar | Summarising Bayesian VAR Coefficients |
print.summary.bvec | Summarising Bayesian VEC Coefficients |
ssvs | Stochastic Search Variable Selection |
ssvs_prior | Stochastic Search Variable Selection Prior |
stochvol_ksc1998 | Stochastic Volatility |
stochvol_ocsn2007 | Stochastic Volatility |
stoch_vol | Stochastic Volatility |
summary.bvar | Summarising Bayesian VAR Coefficients |
summary.bvarlist | Summarising Bayesian VAR or VEC Models |
summary.bvec | Summarising Bayesian VEC Coefficients |
summary.dfm | Summarising Bayesian Dynamic Factor Models |
thin.bvar | Thinning Posterior Draws |
thin.bvarlist | Thinning Posterior Draws |
thin.bvec | Thinning Posterior Draws |
thin.dfm | Thinning Posterior Draws |
us_macrodata | US macroeconomic data |