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CRAN: Package mhsmm

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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