R Development Page
Contributed R Packages
Below is a list of all packages provided by project depmixS4 - hidden Markov model classes.
Important note for package binaries: R-Forge provides these binaries only for the most recent version of R, but not for older versions. In order to successfully install the packages provided on R-Forge, you have to switch to the most recent version of R or, alternatively, install from the package sources (.tar.gz).
Packages
| depmix | Dependent Mixture Models | |||||||||
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Fits (multigroup) mixtures of latent or hidden Markov models on mixed categorical and continuous (timeseries) data. The Rdonlp2 package can optionally be used for optimization of the log-likelihood and is available from R-forge. See Visser et al. (2009, | ||||||||||
| Version: 0.9.16 | Last change: 2020-01-15 16:26:33+01 | Rev.: 684 | ||||||||||
Download:
 (.tar.gz) |
 (.zip) |
Build status: Current | Stable Release: Get depmix 0.9.16 from CRAN | ||||||||||
R install command:
install.packages("depmix", repos="http://R-Forge.R-project.org") | ||||||||||
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| depmixS4 | Dependent Mixture Models - Hidden Markov Models of GLMs and Other Distributions in S4 | |||||||||
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Fits latent (hidden) Markov models on mixed categorical and continuous (time series) data, otherwise known as dependent mixture models, see Visser & Speekenbrink (2010, | ||||||||||
| Version: 1.4-2 | Last change: 2020-06-24 15:28:32+02 | Rev.: 687 | ||||||||||
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Download:
(.tar.gz) |
(.zip) |
Build status: Current | Stable Release: Get depmixS4 1.5-0 from CRAN | ||||||||||
R install command:
install.packages("depmixS4", repos="http://R-Forge.R-project.org") | ||||||||||
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Build status codes
0 - Current: the package is available for download. The corresponding package passed checks on the Linux and Windows platform without ERRORs.
1 - Scheduled for build: the package has been recognized by the build system and provided in the staging area.
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