Package: bvarsv 1.1.1

bvarsv: Bayesian Analysis of a Vector Autoregressive Model with Stochastic Volatility and Time-Varying Parameters

R/C++ implementation of the model proposed by Primiceri ("Time Varying Structural Vector Autoregressions and Monetary Policy", Review of Economic Studies, 2005), with functionality for computing posterior predictive distributions and impulse responses.

Authors:Fabian Krueger

bvarsv_1.1.1.tar.gz
bvarsv_1.1.1.zip(r-4.5)bvarsv_1.1.1.zip(r-4.4)bvarsv_1.1.1.zip(r-4.3)
bvarsv_1.1.1.tgz(r-4.4-x86_64)bvarsv_1.1.1.tgz(r-4.4-arm64)bvarsv_1.1.1.tgz(r-4.3-x86_64)bvarsv_1.1.1.tgz(r-4.3-arm64)
bvarsv_1.1.1.tar.gz(r-4.5-noble)bvarsv_1.1.1.tar.gz(r-4.4-noble)
bvarsv_1.1.1.tgz(r-4.4-emscripten)bvarsv_1.1.1.tgz(r-4.3-emscripten)
bvarsv.pdf |bvarsv.html
bvarsv/json (API)

# Install 'bvarsv' in R:
install.packages('bvarsv', repos = c('https://fk83.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/fk83/bvarsv/issues

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

On CRAN:

5.32 score 28 stars 1 packages 50 scripts 516 downloads 6 exports 2 dependencies

Last updated 2 months agofrom:7b601e6857. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 04 2024
R-4.5-win-x86_64OKNov 04 2024
R-4.5-linux-x86_64OKNov 04 2024
R-4.4-win-x86_64OKNov 04 2024
R-4.4-mac-x86_64OKNov 04 2024
R-4.4-mac-aarch64OKNov 04 2024
R-4.3-win-x86_64OKNov 04 2024
R-4.3-mac-x86_64OKNov 04 2024
R-4.3-mac-aarch64OKNov 04 2024

Exports:bvar.sv.tvpimpulse.responsesparameter.drawspredictive.densitypredictive.drawssim.var1.sv.tvp

Dependencies:RcppRcppArmadillo