`R/mixmod_gibbs_functions.R`

`get.llk.mixmod.Rd`

Calculates the log-likelihood of the mixture model based on estimates for
*theta* and *phi*.

get.llk.mixmod(phi, theta, ndata.types, dat, nobs, nmaxclust)

phi | A list of proportion estimates that characterize distributions (bins) for each data stream and possible behavioral state. |
---|---|

theta | numeric. A vector of values that sum to one. |

ndata.types | numeric. The number of data streams being analyzed. |

dat | A data frame containing only columns of the discretized data streams for all observations. |

nobs | numeric. The total number of rows in the dataset. |

nmaxclust | numeric. A single number indicating the maximum number of clusters to test. |

A numeric value of the log-likelihood based upon the current values
for *phi* and *theta*.