FuzzyStatProb: Fuzzy Stationary Probabilities from a Sequence of Observations of an Unknown Markov Chain

An implementation of a method for computing fuzzy numbers representing stationary probabilities of an unknown Markov chain, from which a sequence of observations along time has been obtained. The algorithm is based on the proposal presented by James Buckley in his book on Fuzzy probabilities (Springer, 2005), chapter 6. Package 'FuzzyNumbers' is used to represent the output probabilities.

Version: 2.0.4
Imports: MultinomialCI, parallel, FuzzyNumbers, DEoptim
Suggests: markovchain, R.rsp
Published: 2019-02-09
DOI: 10.32614/CRAN.package.FuzzyStatProb
Author: Pablo J. Villacorta
Maintainer: Pablo J. Villacorta <pjvi at decsai.ugr.es>
License: LGPL (≥ 3)
URL: http://decsai.ugr.es/~pjvi/r-packages.html
NeedsCompilation: no
CRAN checks: FuzzyStatProb results


Reference manual: FuzzyStatProb.pdf
Vignettes: FuzzyStatProb: fuzzy stationary probability estimation in Markov chains from data


Package source: FuzzyStatProb_2.0.4.tar.gz
Windows binaries: r-devel: FuzzyStatProb_2.0.4.zip, r-release: FuzzyStatProb_2.0.4.zip, r-oldrel: FuzzyStatProb_2.0.4.zip
macOS binaries: r-release (arm64): FuzzyStatProb_2.0.4.tgz, r-oldrel (arm64): FuzzyStatProb_2.0.4.tgz, r-release (x86_64): FuzzyStatProb_2.0.4.tgz, r-oldrel (x86_64): FuzzyStatProb_2.0.4.tgz
Old sources: FuzzyStatProb archive


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