depmixS4: Dependent Mixture Models - Hidden Markov Models of GLMs and Other Distributions in S4 (original) (raw)
Fits latent (hidden) Markov models on mixed categorical and continuous (time series) data, otherwise known as dependent mixture models, see Visser & Speekenbrink (2010, <doi:10.18637/jss.v036.i07>).
| Version: | 1.5-0 |
|---|---|
| Depends: | R (≥ 4.0.0), nnet, MASS, Rsolnp, nlme |
| Imports: | stats, stats4, methods |
| Suggests: | gamlss, gamlss.dist, Rdonlp2 |
| Published: | 2021-05-12 |
| DOI: | 10.32614/CRAN.package.depmixS4 |
| Author: | Ingmar Visser, Maarten Speekenbrink |
| Maintainer: | Ingmar Visser <i.visser at uva.nl> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://depmix.github.io/ |
| NeedsCompilation: | yes |
| Additional_repositories: | http://R-Forge.R-project.org |
| Citation: | depmixS4 citation info |
| Materials: | |
| In views: | Cluster, TimeSeries |
| CRAN checks: | depmixS4 results |
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