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

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