The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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

Reverse dependencies:

Reverse depends: acc, MethylSeekR

Linking:

Please use the canonical form https://CRAN.R-project.org/package=mhsmm to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.