logLikeMle: Maximum likelihood for data.

In sBIC: Computing the Singular BIC for Multiple Models

Description

Computes the maximum likelihood of a model in the model poset for the data set using the setData command.

Usage

logLikeMle(this, model, ...)

## S3 method for class 'BinomialMixtures'
logLikeMle(this, model, ...)

## S3 method for class 'FactorAnalyses'
logLikeMle(this, model, starts = 1, ...)

## S3 method for class 'GaussianMixtures'
logLikeMle(this, model, ...)

## S3 method for class 'LCAs'
logLikeMle(this, model, ...)

## S3 method for class 'LatentForests'
logLikeMle(this, model, ...)

## S3 method for class 'ReducedRankRegressions'
logLikeMle(this, model, ...)

Arguments

this	the object representing the model poset.
model	the model for which the maximum likelihood should be computed.
...	further parameters to be passed to methods
starts	The number of starting values to be tried

sBIC documentation built on May 2, 2019, 4:16 a.m.