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varmapack: Burn-in-Free Simulation and Analysis of Gaussian VARMA Models

Simulates Gaussian vector autoregressive-moving-average time-series models without a burn-in period by drawing startup shocks from their model-implied conditional distribution. Also provides model test cases, autocovariances, spectral radii, and impulse responses.

Version: 0.1.2
Depends: R (≥ 4.0.0)
Imports: R6, randompack (≥ 0.1.10)
LinkingTo: randompack
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2026-09-15
DOI: 10.32614/CRAN.package.varmapack
Author: Kristján Jónasson [aut, cre]
Maintainer: Kristján Jónasson <jonasson at hi.is>
BugReports: https://github.com/jonasson2/varmapack/issues
License: MIT + file LICENSE
URL: https://github.com/jonasson2/varmapack
NeedsCompilation: yes
Materials: README, NEWS
In views: TimeSeries
CRAN checks: varmapack results

Documentation:

Reference manual: varmapack.html , varmapack.pdf
Vignettes: Getting Started with Varmapack (source, R code)
Mathematical Description of Varmapack (source, R code)

Downloads:

Package source: varmapack_0.1.2.tar.gz
Windows binaries: r-devel: varmapack_0.1.2.zip, r-release: varmapack_0.1.1.zip, r-oldrel: varmapack_0.1.2.zip
macOS binaries: r-release (arm64): varmapack_0.1.2.tgz, r-oldrel (arm64): varmapack_0.1.2.tgz, r-release (x86_64): varmapack_0.1.2.tgz, r-oldrel (x86_64): varmapack_0.1.2.tgz
Old sources: varmapack archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=varmapack to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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