mhsmm: Inference for Hidden Markov and Semi-Markov Models

Parameter estimation and prediction for hidden Markov and semi-Markov models for data with multiple observation sequences. Suitable for equidistant time series data, with multivariate and/or missing data. Allows user defined emission distributions.

Version: 0.4.16
Depends: mvtnorm
Published: 2017-01-15
Author: Jared O'Connell, Søren Højsgaard
Maintainer: Jared O'Connell <jaredoconnell at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: mhsmm citation info
Materials: README ChangeLog
CRAN checks: mhsmm results


Reference manual: mhsmm.pdf
Vignettes: Smoothing discrete data (I) - smooth.discrete()
Smoothing discrete data (II)


Package source: mhsmm_0.4.16.tar.gz
Windows binaries: r-devel:, r-devel-UCRT:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): mhsmm_0.4.16.tgz, r-release (x86_64): mhsmm_0.4.16.tgz, r-oldrel: mhsmm_0.4.16.tgz
Old sources: mhsmm archive

Reverse dependencies:

Reverse depends: acc, MethylSeekR
Reverse imports: BMRMM, hmma


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