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: 1.0
Depends: R (≥ 2.15.0), MultinomialCI, parallel, FuzzyNumbers, DEoptim
Published: 2013-03-11
Author: Pablo J. Villacorta
Maintainer: Pablo J. Villacorta <pjvi at decsai.ugr.es>
BugReports: http://decsai.ugr.es/~pjvi
License: LGPL (≥ 3)
URL: http://decsai.ugr.es/~pjvi
NeedsCompilation: no
CRAN checks: FuzzyStatProb results


Reference manual: FuzzyStatProb.pdf
Package source: FuzzyStatProb_1.0.tar.gz
Windows binaries: r-devel: FuzzyStatProb_1.0.zip, r-release: FuzzyStatProb_1.0.zip, r-oldrel: FuzzyStatProb_1.0.zip
OS X Snow Leopard binaries: r-release: FuzzyStatProb_1.0.tgz, r-oldrel: FuzzyStatProb_1.0.tgz
OS X Mavericks binaries: r-release: FuzzyStatProb_1.0.tgz