Package: bayesianVARs 0.1.4

Luis Gruber

bayesianVARs: MCMC Estimation of Bayesian Vectorautoregressions

Efficient Markov Chain Monte Carlo (MCMC) algorithms for the fully Bayesian estimation of vectorautoregressions (VARs) featuring stochastic volatility (SV). Implements state-of-the-art shrinkage priors following Gruber & Kastner (2023) <doi:10.48550/arXiv.2206.04902>. Efficient equation-per-equation estimation following Kastner & Huber (2020) <doi:10.1002/for.2680> and Carrerio et al. (2021) <doi:10.1016/j.jeconom.2021.11.010>.

Authors:Luis Gruber [cph, aut, cre], Gregor Kastner [ctb]

bayesianVARs_0.1.4.tar.gz
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bayesianVARs.pdf |bayesianVARs.html✨
bayesianVARs/json (API)
NEWS

# Install 'bayesianVARs' in R:
install.packages('bayesianVARs', repos = c('https://luisgruber.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/luisgruber/bayesianvars/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

bayesiantime-seriesvectorautoregression

6 exports 6 stars 1.87 score 23 dependencies 7 scripts 400 downloads

Last updated 12 days agofrom:e973ca5ba7. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 10 2024
R-4.5-win-x86_64OKSep 10 2024
R-4.5-linux-x86_64OKSep 10 2024
R-4.4-win-x86_64OKSep 10 2024
R-4.4-mac-x86_64OKSep 10 2024
R-4.4-mac-aarch64OKSep 10 2024
R-4.3-win-x86_64OKSep 10 2024
R-4.3-mac-x86_64OKSep 10 2024
R-4.3-mac-aarch64OKSep 10 2024

Exports:bvarmy_gigposterior_heatmapspecify_prior_phispecify_prior_sigmastable_bvar

Dependencies:clicodacolorspacecorrplotfactorstochvolfarverGIGrvggluelabelinglatticelifecycleMASSmunsellmvtnormR6RColorBrewerRcppRcppArmadilloRcppProgressrlangscalesstochvolviridisLite

Shrinkage Priors for Bayesian Vectorautoregressions featuring Stochastic Volatility Using the R Package bayesianVARs

Rendered frombayesianVARs-vignette.Rmdusingknitr::rmarkdownon Sep 10 2024.

Last update: 2024-01-12
Started: 2023-12-22

Readme and manuals

Help Manual

Help pageTopics
Extract or Replace Parts of a bayesianVARs_coef object[.bayesianVARs_coef
Extract or Replace Parts of a bayesianVARs_draws object[.bayesianVARs_draws
Markov Chain Monte Carlo Sampling for Bayesian Vectorautoregressionsbvar
Extract VAR coefficientscoef coef.bayesianVARs_bvar
Simulate fitted/predicted historical values for an estimated VAR modelfitted.bayesianVARs_bvar
Draw from generalized inverse Gaussianmy_gig
Pairwise visualization of out-of-sample posterior predictive densities.pairs.bayesianVARs_predict pairs_predict
Plot method for bayesianVARs_bvarplot.bayesianVARs_bvar
Visualization of in-sample fit of an estimated VAR.plot.bayesianVARs_fitted
Fan chartplot.bayesianVARs_predict
Posterior heatmaps for VAR coefficients or variance-covariance matricesposterior_heatmap
Predict method for Bayesian VARspredict.bayesianVARs_bvar
Pretty printing of a bvar objectprint.bayesianVARs_bvar
Print method for bayesianVARs_predict objectsprint.bayesianVARs_predict
Print method for summary.bayesianVARs_bvar objectsprint.summary.bayesianVARs_bvar
Print method for summary.bayesianVARs_predict objectsprint.summary.bayesianVARs_predict
Specify prior on PHIspecify_prior_phi
Specify prior on Sigmaspecify_prior_sigma
Stable posterior drawsstable_bvar
Summary method for bayesianVARs_bvar objectssummary.bayesianVARs_bvar
Summary statistics for bayesianVARs posterior draws.summary.bayesianVARs_draws
Summary method for bayesianVARs_predict objectssummary.bayesianVARs_predict
Data from the US-economyusmacro_growth
Extract posterior draws of the (time-varying) variance-covariance matrix for a VAR modelvcov.bayesianVARs_bvar