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bayesianVARs

MCMC Estimation of Bayesian Vectorautoregressions

v0.1.8 · Feb 19, 2026 · GPL (>= 3)

Description

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 (2025) <doi:10.1016/j.ijforecast.2025.02.001>. 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>.

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NOTE r-oldrel-macos-arm64

installed package size

installed size is  9.8Mb
  sub-directories of 1Mb or more:
    doc    1.1Mb
    libs   8.3Mb
NOTE r-oldrel-macos-x86_64

installed package size

installed size is 10.2Mb
  sub-directories of 1Mb or more:
    doc    1.1Mb
    libs   8.6Mb

Check History

NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
NOTE r-oldrel-macos-arm64

installed package size

installed size is  9.8Mb
  sub-directories of 1Mb or more:
    doc    1.1Mb
    libs   8.3Mb
NOTE r-oldrel-macos-x86_64

installed package size

installed size is 10.2Mb
  sub-directories of 1Mb or more:
    doc    1.1Mb
    libs   8.6Mb

Dependency Network

Dependencies Reverse dependencies colorspace factorstochvol GIGrvg MASS mvtnorm Rcpp scales stochvol bayesianVARs

Version History

new 0.1.8 Mar 10, 2026
updated 0.1.8 ← 0.1.6 diff Feb 18, 2026
updated 0.1.6 ← 0.1.5 diff Jan 28, 2026
updated 0.1.5 ← 0.1.4 diff Nov 12, 2024
updated 0.1.4 ← 0.1.3 diff Sep 5, 2024
updated 0.1.3 ← 0.1.2 diff Jun 25, 2024
updated 0.1.2 ← 0.1.1 diff Jan 19, 2024
updated 0.1.1 ← 0.1.0 diff Jan 16, 2024
new 0.1.0 Jan 12, 2024