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: 0.0.8
Imports: stats, utils, graphics, grDevices, fastDummies, MASS, mvtnorm, scales, foreach, parallel, doParallel, parabar, iterators
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2024年12月09日
Author: Anja Ernst [aut, cre], Jonas Haslbeck [aut]
Maintainer: Anja Ernst <a.f.ernst at rug.nl>
License: GPL-2
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: ClusterVAR results

Documentation:

Reference manual: ClusterVAR.html , ClusterVAR.pdf

Downloads:

Windows binaries: r-devel: ClusterVAR_0.0.8.zip, r-release: ClusterVAR_0.0.8.zip, r-oldrel: ClusterVAR_0.0.8.zip
macOS binaries: r-release (arm64): ClusterVAR_0.0.8.tgz, r-oldrel (arm64): ClusterVAR_0.0.8.tgz, r-release (x86_64): ClusterVAR_0.0.8.tgz, r-oldrel (x86_64): ClusterVAR_0.0.8.tgz

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