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PHSMM: Penalised Maximum Likelihood Estimation for Hidden Semi-Markov Models

Provides tools for penalised maximum likelihood estimation of hidden semi-Markov models (HSMMs) with flexible state dwell-time distributions. These include functions for model fitting, model checking and state-decoding. The package considers HSMMs for univariate time series with state-dependent gamma, normal, Poisson or Bernoulli distributions. For details, see Pohle, J., Adam, T. and Beumer, L.T. (2021): Flexible estimation of the state dwell-time distribution in hidden semi-Markov models. <doi:10.48550/arXiv.2101.09197>.

Version: 1.0
Depends: R (≥ 4.0.0)
Imports: Rcpp (≥ 1.0.5)
LinkingTo: Rcpp, RcppArmadillo
Published: 2021-02-09
DOI: 10.32614/CRAN.package.PHSMM
Author: Jennifer Pohle
Maintainer: Jennifer Pohle <jennifer.pohle at uni-bielefeld.de>
License: GPL-3
NeedsCompilation: yes
CRAN checks: PHSMM results

Documentation:

Reference manual: PHSMM.pdf

Downloads:

Package source: PHSMM_1.0.tar.gz
Windows binaries: r-devel: PHSMM_1.0.zip, r-release: PHSMM_1.0.zip, r-oldrel: PHSMM_1.0.zip
macOS binaries: r-release (arm64): PHSMM_1.0.tgz, r-oldrel (arm64): PHSMM_1.0.tgz, r-release (x86_64): PHSMM_1.0.tgz, r-oldrel (x86_64): PHSMM_1.0.tgz

Reverse dependencies:

Reverse suggests: LaMa

Linking:

Please use the canonical form https://CRAN.R-project.org/package=PHSMM 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.
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