get.llk.mixmod: Internal function to calculate the log-likelihood for...

In bayesmove: Non-Parametric Bayesian Analyses of Animal Movement

Description

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

Usage

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.
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.

Value

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

bayesmove documentation built on Oct. 22, 2021, 9:08 a.m.