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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 |
| Reference manual: | PHSMM.pdf |
| 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 suggests: | LaMa |
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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.