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PHSMM: Penalised Maximum Likelihood Estimation for Hidden Semi-MarkovModels

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.html ,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 formhttps://CRAN.R-project.org/package=PHSMMto link to this page.


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