Bayesian Inference of Vector Autoregressive and Error Correction Models
Summarising Bayesian VEC Coefficients
Summarising Bayesian Dynamic Factor Models
Thinning Posterior Draws
Thinning Posterior Draws
Thinning Posterior Draws
Thinning Posterior Draws
Stochastic Volatility
Stochastic Volatility
Stochastic Search Variable Selection
Summarising Bayesian VAR Coefficients
Stochastic Search Variable Selection Prior
Stochastic Volatility
Add Priors for a Vector Autoregressive Models
Add Priors for Vector Error Correction Models
Add Priors to Dynamic Factor Model
Add Priors to Bayesian ModelsA generic function used to generate prior...
Bayesian Vector Autoregression Objects
Posterior Simulation for BVAR Models
bvartools: Bayesian Inference of Vector Autoregressive and Error Corre...
Bayesian Vector Error Correction Objects
Transform a VEC Model to a VAR in Levels
Posterior Simulation for BVEC Models
Bayesian Variable Selection
Bayesian Dynamic Factor Model Objects
Posterior Simulation for Dynamic Factor Models
Posterior Simulation
Posterior Simulation for Vector Error Correction Models
Posterior Simulation
Posterior Simulation
Forecast Error Variance Decomposition
Forecast Error Variance DecompositionA generic function used to calcul...
Dynamic Factor Model Input
Vector Autoregressive Model Input
Vector Error Correction Model Input
Prior Inclusion Probabilities
Impulse Response Function
Impulse Response FunctionA generic function used to calculate impulse ...
Durbin and Koopman Simulation Smoother
Calculates the log-likelihood of a multivariate normal distribution.
Minnesota Prior
Plotting Posterior Draws of Bayesian VAR or VEC Models
Plotting Forecasts of BVAR Models
Posterior Draw for Cointegration Models
Posterior Draw for Cointegration Models
Posterior Draw from a Normal Distribution
Posterior Simulation of Error Covariance Coefficients
Posterior Simulation of Error Covariance Coefficients
Posterior Draw from a Normal Distribution
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).