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.
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 |
| Reference manual: | mhsmm.pdf |
| Vignettes: |
Smoothing discrete data (I) - smooth.discrete() Smoothing discrete data (II) |
| 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 depends: | acc, MethylSeekR |
Please use the canonical form https://CRAN.R-project.org/package=mhsmm 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.