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
DOI:	10.32614/CRAN.package.mhsmm
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.html , mhsmm.pdf
Vignettes:	Smoothing discrete data (I) - smooth.discrete() (source, R code) Smoothing discrete data (II) (source, R code)

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, r-oldrel (x86_64): mhsmm_0.4.21.tgz
Old sources:	mhsmm archive

Reverse dependencies:

Reverse depends:

acc, MethylSeekR

Linking:

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