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: 0.4.21
Depends: mvtnorm
Imports: methods
Published: 2023-08-23
Author: Jared O'Connell, Søren Højsgaard
Maintainer: Jared O'Connell <jaredoconnell at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: mhsmm citation info
Materials: README ChangeLog
CRAN checks: mhsmm results

Documentation:

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

Downloads:

Package source: mhsmm_0.4.21.tar.gz
Windows binaries: r-devel: mhsmm_0.4.21.zip, r-release: mhsmm_0.4.21.zip, r-oldrel: mhsmm_0.4.21.zip
macOS binaries: r-release (arm64): mhsmm_0.4.21.tgz, r-oldrel (arm64): mhsmm_0.4.21.tgz, r-release (x86_64): mhsmm_0.4.21.tgz
Old sources: mhsmm archive

Reverse dependencies:

Reverse depends: acc, MethylSeekR

Linking:

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