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)

## Arguments

phi A list of proportion estimates that characterize distributions (bins) for each data stream and possible behavioral state. numeric. A vector of values that sum to one. numeric. The number of data streams being analyzed. A data frame containing only columns of the discretized data streams for all observations. numeric. The total number of rows in the dataset. numeric. A single number indicating the maximum number of clusters to test.

## Value

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