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ClusterVAR: Fitting Latent Class Vector-Autoregressive (VAR) Models

Estimates latent class vector-autoregressive models via EM algorithm on time-series data for model-based clustering and classification. Includes model selection criteria for selecting the number of lags and clusters.

Version: 0.0.6
Imports: stats, utils, graphics, grDevices, fastDummies, MASS, mvtnorm, scales, foreach, parallel, doParallel, parabar, iterators
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2024-06-06
DOI: 10.32614/CRAN.package.ClusterVAR
Author: Anja Ernst [aut, cre], Jonas Haslbeck [aut]
Maintainer: Anja Ernst <a.f.ernst at rug.nl>
BugReports: https://github.com/anieBee/ClusterVAR/issues
License: GPL-2
NeedsCompilation: no
Materials: README NEWS
CRAN checks: ClusterVAR results

Documentation:

Reference manual: ClusterVAR.pdf

Downloads:

Package source: ClusterVAR_0.0.6.tar.gz
Windows binaries: r-devel: ClusterVAR_0.0.6.zip, r-release: ClusterVAR_0.0.6.zip, r-oldrel: ClusterVAR_0.0.6.zip
macOS binaries: r-release (arm64): ClusterVAR_0.0.6.tgz, r-oldrel (arm64): ClusterVAR_0.0.6.tgz, r-release (x86_64): ClusterVAR_0.0.6.tgz, r-oldrel (x86_64): ClusterVAR_0.0.6.tgz

Linking:

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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.