Description Usage Arguments Value Author(s) References Examples

Simulates the observed process and the associated binary variable of a 1-D HMM with extra zeros.

1 | ```
sim.hmm0norm(mu, sig, pie, gamma, delta, nsim = 1, seed = NULL)
``` |

`pie` |
is a vector of length |

`gamma` |
is the transition probability matrix ( |

`mu` |
is a |

`sig` |
is a |

`delta` |
is a vector of length |

`nsim` |
is an integer, the number of observations to simulate. |

`seed` |
is the seed for simulation. Default |

`x` |
is the simulated observed process. |

`z` |
is the simulated binary data with the value 1 indicating that an event was observed and 0 otherwise. |

`mcy` |
is the simulated hidden Markov chain. |

Ting Wang

Wang, T., Zhuang, J., Obara, K. and Tsuruoka, H. (2016) Hidden Markov Modeling of Sparse Time Series from Non-volcanic Tremor Observations. Journal of the Royal Statistical Society, Series C, Applied Statistics, 66, Part 4, 691-715.

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