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countHMM (version 0.1.0)

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

Description

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 Wei<9f>, C.H. (2019): Penalized Estimation of Flexible Hidden Markov Models for Time Series of Counts. .

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Version

Install

install.packages('countHMM')

Monthly Downloads

163

Version

0.1.0

License

GPL-3

Maintainer

Timo Adam

Last Published

April 24th, 2019

Functions in countHMM (0.1.0)

pn2pw

pn2pw
stateDec

stateDec
psRes

psRes
pw2pn

pw2pn
plotMod

plotMod
plotObs

plotObs
fitMod

fitMod
nLogLike

Penalized negative log-likelihood
plotRes

Quantile-quantile and autocorrelation function plots of the pseudo-residuals.