marginal_model_lhood: Marginal likelihood of data under mixture model

In kleinschmidt/phondisttools: Tools for Analyzing Phonetic Cue Distributions

Description

Calls model_lhood on each model and takes the average (assumes equal prior/mixing weights)

Usage

marginal_model_lhood(mods, data, log = TRUE, ...)

Arguments

mods	list of models in mixture.
data	matrix with observations in rows and dimensions in columns
log	=TRUE returns log likelihood (default)
...	additional arguments passed model_lhood (mvtnorm::dmvnorm)

Value

vector with marginal likelihood for each row in data.

kleinschmidt/phondisttools documentation built on May 20, 2019, 5:57 p.m.