bvartools0.2.4 package

Bayesian Inference of Vector Autoregressive and Error Correction 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

stochvol_ksc1998

Stochastic Volatility

stochvol_ocsn2007

Stochastic Volatility

ssvs

Stochastic Search Variable Selection

summary.bvar

Summarising Bayesian VAR Coefficients

ssvs_prior

Stochastic Search Variable Selection Prior

stoch_vol

Stochastic Volatility

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

add_priors

Add Priors to Bayesian ModelsA generic function used to generate prior...

bvar

Bayesian Vector Autoregression Objects

bvarpost

Posterior Simulation for BVAR Models

bvartools-package

bvartools: Bayesian Inference of Vector Autoregressive and Error Corre...

bvec

Bayesian Vector Error Correction Objects

bvec_to_bvar

Transform a VEC Model to a VAR in Levels

bvecpost

Posterior Simulation for BVEC Models

bvs

Bayesian Variable Selection

dfm

Bayesian Dynamic Factor Model Objects

dfmpost

Posterior Simulation for Dynamic Factor Models

draw_posterior.bvarmodel

Posterior Simulation

draw_posterior.bvecmodel

Posterior Simulation for Vector Error Correction Models

draw_posterior.dfmodel

Posterior Simulation

draw_posterior

Posterior Simulation

fevd.bvar

Forecast Error Variance Decomposition

fevd

Forecast Error Variance DecompositionA generic function used to calcul...

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.bvar

Impulse Response Function

irf

Impulse Response FunctionA generic function used to calculate impulse ...

kalman_dk

Durbin and Koopman Simulation Smoother

loglik_normal

Calculates the log-likelihood of a multivariate normal distribution.

minnesota_prior

Minnesota Prior

plot.bvarlist

Plotting Posterior Draws of Bayesian VAR or VEC Models

plot.bvarprd

Plotting Forecasts of BVAR Models

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

summary.bvarlist

Summarising Bayesian VAR or VEC Models

Assists in the set-up of algorithms for Bayesian inference of vector autoregressive (VAR) and error correction (VEC) models. Functions for posterior simulation, forecasting, impulse response analysis and forecast error variance decomposition are largely based on the introductory texts of Chan, Koop, Poirier and Tobias (2019, ISBN: 9781108437493), Koop and Korobilis (2010) <doi:10.1561/0800000013> and Luetkepohl (2006, ISBN: 9783540262398).

  • Maintainer: Franz X. Mohr
  • License: GPL (>= 2)
  • Last published: 2024-01-08