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.
|Imports:||MultinomialCI, parallel, FuzzyNumbers, DEoptim|
|Author:||Pablo J. Villacorta|
|Maintainer:||Pablo J. Villacorta <pjvi at decsai.ugr.es>|
|License:||LGPL (≥ 3)|
|CRAN checks:||FuzzyStatProb results|
FuzzyStatProb: fuzzy stationary probability estimation in Markov chains from data
|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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