Description Usage Arguments Value References Examples

Function used to generate a hidden Markov model with categorical variables and random parameters. The code for the methods with continuous values or discrete data can be viewed in `"initGHMM"`

and `"initPHMM"`

, respectively.

1 | ```
initHMM(n, m)
``` |

`n` |
the number of hidden states to use. |

`m` |
the number of possible categories (labels) generated by the hidden states. |

A `"list"`

that contains the required values to specify the model.

`Model` |
it specifies that the observed values are to be modeled as a multinomial distribution. |

`StateNames` |
the set of hidden state names. |

`ObservationNames` |
the set of possible observed values. |

`A` |
the transition probabilities matrix. |

`B` |
the emission probabilities matrix. |

`Pi` |
the initial probability vector. |

Cited references are listed on the RcppHMM manual page.

1 2 3 4 |

```
Attaching package: 'RcppHMM'
The following object is masked from 'package:stats':
setNames
$Model
[1] "HMM"
$StateNames
[1] "x1" "x2"
$ObservationNames
[1] "y1" "y2"
$A
[,1] [,2]
[1,] 0.4533246 0.5466754
[2,] 0.8037148 0.1962852
$B
[,1] [,2]
[1,] 0.1510980 0.8489020
[2,] 0.4375402 0.5624598
$Pi
[1] 0.8153173 0.1846827
```

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