HMMmlselect: Determine the Number of States in Hidden Markov Models via Marginal Likelihood

Provide functions to make estimate the number of states for a hidden Markov model (HMM) using marginal likelihood method proposed by the authors. See the Manual.pdf file a detail description of all functions, and a detail tutorial.

Version:	0.1.6
Imports:	HiddenMarkov, mclust, mvtnorm, stats, MCMCpack, Rcpp (≥ 0.12.10)
LinkingTo:	Rcpp
Published:	2020-05-03
Author:	Yang Chen, Cheng-Der Fuh, Chu-Lan Kao, and S. C. Kou.
Maintainer:	Chu-Lan Michael Kao <chulankao at gmail.com>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	yes
SystemRequirements:	C++11
CRAN checks:	HMMmlselect results

Documentation:

Reference manual:

HMMmlselect.pdf

Downloads:

Package source:	HMMmlselect_0.1.6.tar.gz
Windows binaries:	r-devel: HMMmlselect_0.1.6.zip, r-release: HMMmlselect_0.1.6.zip, r-oldrel: HMMmlselect_0.1.6.zip
macOS binaries:	r-release (arm64): HMMmlselect_0.1.6.tgz, r-oldrel (arm64): HMMmlselect_0.1.6.tgz, r-release (x86_64): HMMmlselect_0.1.6.tgz, r-oldrel (x86_64): HMMmlselect_0.1.6.tgz
Old sources:	HMMmlselect archive

Linking:

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