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: | 2.0.1 |

Imports: | MultinomialCI, parallel, FuzzyNumbers, DEoptim |

Suggests: | markovchain, R.rsp |

Published: | 2015-06-15 |

Author: | 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_2.0.1.tar.gz |

Windows binaries: | r-devel: FuzzyStatProb_2.0.1.zip, r-release: FuzzyStatProb_2.0.1.zip, r-oldrel: FuzzyStatProb_2.0.1.zip |

OS X Snow Leopard binaries: | r-release: FuzzyStatProb_2.0.1.tgz, r-oldrel: FuzzyStatProb_2.0.tgz |

OS X Mavericks binaries: | r-release: FuzzyStatProb_2.0.1.tgz |

Old sources: | FuzzyStatProb archive |