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 WeiƟ, C.H. (2019): Penalized Estimation of Flexible Hidden Markov Models for Time Series of Counts. <arXiv:1901.03275>.

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

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Reference manual: countHMM.pdf
Package source: countHMM_0.1.0.tar.gz
Windows binaries: r-devel: countHMM_0.1.0.zip, r-devel-gcc8: countHMM_0.1.0.zip, r-release: countHMM_0.1.0.zip, r-oldrel: countHMM_0.1.0.zip
OS X binaries: r-release: countHMM_0.1.0.tgz, r-oldrel: countHMM_0.1.0.tgz

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