Hidden Markov Models with Discrete Non-Parametric Observation Distributions

anova.hmm.discnp | Anova for hmm.discnp models |

ccprSim | Simulated monocyte counts and psychosis symptoms. |

cnvrtRho | Convert Rho between forms. |

fitted.hmm.discnp | Fitted values of a discrete non-parametric hidden Markov... |

hmm | Fit a hidden Markov model to discrete data. |

hmm.discnp-internal | Internal hmm.discnp functions. |

hydroDat | Canadian hydrological data sets. |

lesionCount | Multiple sclerosis lesion counts for three patients. |

logLikHmm | Log likelihood of a hidden Markov model |

misstify | Insert missing values. |

mps | Most probable states. |

nafracCalc | Calculate fractions of missing values. |

pr | Probability of state sequences. |

predict.hmm.discnp | Predicted values of a discrete non-parametric hidden Markov... |

rhmm | Simulate discrete data from a non-parametric hidden Markov... |

scovmat | Simulation based covariance matrix. |

sp | Calculate the conditional state probabilities. |

squantCI | Simulation-quantile based confidence intervals. |

SydColDisc | Discretised version of coliform counts in sea-water samples |

update.hmm.discnp | Update a fitted 'hmm.discnp' model. |

viterbi | Most probable state sequence. |

weissData | Data from "An Introduction to Discrete-Valued Time Series" |

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