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: | 0.4.16 |
| Depends: | mvtnorm |
| Published: | 2017-01-15 |
| Author: | Jared O'Connell, Søren Højsgaard |
| Maintainer: | Jared O'Connell <jaredoconnell at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/jaredo/mhsmm |
| 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_0.4.16.tar.gz |
| Windows binaries: | r-devel: mhsmm_0.4.16.zip, r-release: mhsmm_0.4.16.zip, r-oldrel: mhsmm_0.4.16.zip |
| macOS binaries: | r-release (arm64): mhsmm_0.4.16.tgz, r-oldrel (arm64): mhsmm_0.4.16.tgz, r-release (x86_64): mhsmm_0.4.16.tgz, r-oldrel (x86_64): mhsmm_0.4.16.tgz |
| Old sources: | mhsmm archive |
| Reverse depends: | acc, MethylSeekR |
| Reverse imports: | BMRMM |
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