depmixS4: Dependent Mixture Models - Hidden Markov Models of GLMs and Other Distributions in S4

Fits latent (hidden) Markov models on mixed categorical and continuous (time series) data, otherwise known as dependent mixture models.

Version: 1.3-5
Depends: R (≥ 3.5.0), nnet, MASS, Rsolnp
Imports: stats, stats4, methods
Suggests: gamlss, gamlss.dist, Rdonlp2
Published: 2018-08-24
Author: Ingmar Visser, Maarten Speekenbrink
Maintainer: Ingmar Visser <i.visser at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: depmixS4 citation info
Materials: README NEWS
In views: Cluster, TimeSeries
CRAN checks: depmixS4 results


Reference manual: depmixS4.pdf
Vignettes: depmixS4: An R Package for Hidden Markov Models
Package source: depmixS4_1.3-5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: depmixS4_1.3-5.tgz, r-oldrel: depmixS4_1.3-3.tgz
Old sources: depmixS4 archive

Reverse dependencies:

Reverse suggests: ldhmm, segclust2d


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