summary.glca

<code>summary</code> method for class "<code>glca</code>".

Fits multiple-group latent class analysis (LCA) for exploring
differences between populations in the data with a multilevel structure.
There are two approaches to reflect group differences in glca:
fixed-effect LCA (Bandeen-Roche et al (1997) <doi:10.1080/01621459.1997.10473658>;
Clogg and Goodman (1985) <doi:10.2307/270847>) and nonparametric random-effect LCA
(Vermunt (2003) <doi:10.1111/j.0081-1750.2003.t01-1-00131.x>).

Youngsun Kim

glca

An R Package for Multiple-Group Latent Class Analysis

Hwan Chung

summary.glca function

<dl><dt>object</dt>
<dd>an object of "<code>glca</code>", usually, a result of a call to <code>glca</code></dd>
<dt>digits</dt>
<dd>the number of digits to be printed</dd>
<dt>...</dt>
<dd>further arguments passed to or from other methods</dd></dl>

Arguments

Summarizes the Estimated Parameters of Fitted glca Model — summary.glca

<dl>

<dt>object</dt>
<dd>an object of "<code>glca</code>", usually, a result of a call to <code>glca</code></dd>


<dt>digits</dt>
<dd>the number of digits to be printed</dd>


<dt>...</dt>
<dd>further arguments passed to or from other methods</dd>

</dl>

summary.glca: Summarizes the Estimated Parameters of Fitted glca Model

Description

Usage

Value

Arguments

See Also

Examples