Bayesian Inference of Vector Autoregressive and Error Correction 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) and Luetkepohl (2006, ISBN: 9783540262398).


Reference manual

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install.packages("bvartools")

0.3.0 by Franz X. Mohr, a month 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 grDevices, graphics, methods, parallel, Rcpp, stats

Depends on coda, Matrix

Suggests knitr, rmarkdown, testthat

Linking to Rcpp, RcppArmadillo


Imported by FAVAR.


See at CRAN