Bayesian Inference of Vector Autoregressive Models

Assists in the set-up of algorithms for Bayesian inference of vector autoregressive (VAR) models. Functions for posterior simulation, forecasting, impulse response analysis and forecast error variance decomposition are largely based on the introductory texts of Koop and Korobilis (2010) and Luetkepohl (2007, ISBN: 9783540262398).


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Reference manual

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install.packages("bvartools")

0.0.1 by Franz X. Mohr, 14 days ago


https://github.com/franzmohr/bvartools


Report a bug at https://github.com/franzmohr/bvartools/issues


Browse source code at https://github.com/cran/bvartools


Authors: Franz X. Mohr [aut, cre]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports coda, graphics, Rcpp, stats

Suggests knitr, rmarkdown

Linking to Rcpp, RcppArmadillo


See at CRAN