The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
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[@]dogado.de.
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 |
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.
Health stats visible at Monitor.