emMain: EM-algorithm for latent forests.

In sBIC: Computing the Singular BIC for Multiple Models

Description

Uses the EM-algorithm (with multiple random restarts) to compute an approximate maximum likelihood estimate for a given latent forest model.

Usage

emMain(this, model, starts, maxIter, tol)

## S3 method for class 'LatentForests'
emMain(this, model, starts=5, maxIter=1000, tol=1e-4)

Arguments

this	the LatentForests object.
model	the model for which to compute the approximate MLE.
starts	the number of random restarts.
maxIter	the maximum number of iterations to complete in the algorithm.
tol	the tolerance to use a convergence criterion.

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