Description Usage Arguments Value Author(s) Examples

View source: R/ldhmm-gamma_init.R

This utility has multiple purposes. It can generate a simple transition probability matrix,
using p1 and p2, if prob is left as NULL. The generated gamma is raw and not normalized.
If prob is provided as a vector, the utility converts it into a matrix as gamma.
Furthermore, if prob is provided as a vector or matrix, the utility
applies `min.gamma`

, and normalize the sum of t.p.m. rows to 1. This is mainly an internal
function used by MLE, not be concerned by external users.

1 | ```
ldhmm.gamma_init(m, p1 = 0.04, p2 = 0.01, prob = NULL, min.gamma = 0)
``` |

`m` |
numeric, number of states |

`p1` |
numeric, the first-neighbor transition probability, default is 0.4. |

`p2` |
numeric, the second-neighbor transition probability, default is 0.1. |

`prob` |
numeric or matrix, a full specified transition probability by user, default is |

`min.gamma` |
numeric, a minimum transition probability added to gamma to avoid singularity, default is 0.
This is only used when |

a matrix as gamma

Stephen H. Lihn

1 2 3 4 5 6 | ```
gamma0 <- ldhmm.gamma_init(m=3)
prob=c(0.9, 0.1, 0.1,
0.1, 0.9, 0.0,
0.1, 0.1, 0.8)
gamma1 <- ldhmm.gamma_init(m=3, prob=prob)
gamma2 <- ldhmm.gamma_init(m=2, prob=gamma1, min.gamma=1e-6)
``` |

ldhmm documentation built on March 18, 2018, 1:51 p.m.

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