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.

countHMM: Penalized Estimation of Flexible Hidden Markov Models for Time Series of Counts

Provides tools for penalized estimation of flexible hidden Markov models for time series of counts w/o the need to specify a (parametric) family of distributions. These include functions for model fitting, model checking, and state decoding. For details, see Adam, T., Langrock, R., and Weiß, C.H. (2019): Penalized Estimation of Flexible Hidden Markov Models for Time Series of Counts. <doi:10.48550/arXiv.1901.03275>.

Version: 0.1.0
Published: 2019-04-24
DOI: 10.32614/CRAN.package.countHMM
Author: Timo Adam
Maintainer: Timo Adam <timo.adam at uni-bielefeld.de>
License: GPL-3
NeedsCompilation: no
CRAN checks: countHMM results

Documentation:

Reference manual: countHMM.pdf

Downloads:

Package source: countHMM_0.1.0.tar.gz
Windows binaries: r-devel: countHMM_0.1.0.zip, r-release: countHMM_0.1.0.zip, r-oldrel: countHMM_0.1.0.zip
macOS binaries: r-release (arm64): countHMM_0.1.0.tgz, r-oldrel (arm64): countHMM_0.1.0.tgz, r-release (x86_64): countHMM_0.1.0.tgz, r-oldrel (x86_64): countHMM_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=countHMM 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.