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.


R-package clusterVAR

The package provides functions to estimate Latent Class Vector Autoregressive (VAR) models and perform model selection.

Ernst, A. F., Albers, C. J., Jeronimus, B. F., & Timmerman, M. E. (2020). Inter-individual differences in multivariate time-series. European Journal of Psychological Assessment.

Reference manual

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install.packages("ClusterVAR")

0.0.8 by Anja Ernst, 2 years ago


Report a bug at https://github.com/anieBee/ClusterVAR/issues


Browse source code at https://github.com/cran/ClusterVAR


Authors: Anja Ernst [aut, cre] , Jonas Haslbeck [aut]


Documentation:   PDF Manual  


GPL-2 license


Imports stats, utils, graphics, grDevices, fastDummies, MASS, mvtnorm, scales, foreach, parallel, doParallel, parabar, iterators

Suggests knitr, rmarkdown, testthat


See at CRAN