summary.stepLCplfm

The function <code>summary.stepLCplfm</code> summarizes the fit measures of a series of <code>LCplfm</code> objects.

Functions for estimating probabilistic latent feature models with a disjunctive, conjunctive or additive mapping rule on (aggregated) binary three-way data.

Michel Meulders

plfm

Probabilistic Latent Feature Analysis

Philippe De Bruecker

summary.stepLCplfm function

<dl> <dt>object</dt>
<dd>Latent class probabilistic latent feature analysis object returned by <code>stepLCplfm</code></dd> <dt>...</dt>
<dd>Further arguments are ignored</dd></dl>

Arguments

Author

Summary method for stepLCplfm objects — summary.stepLCplfm

<dl>

 <dt>object</dt>
<dd>Latent class probabilistic latent feature analysis object returned by <code>stepLCplfm</code></dd>

 <dt>...</dt>
<dd>Further arguments are ignored</dd>

</dl>

summary.stepLCplfm: Summary method for `stepLCplfm` objects

Description

Usage

Arguments

Author

Details

See Also