item

Specifying manifest items in formula of <code>glca</code> function.

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

item function

<dl><dt>...</dt>
<dd>vectors of manifest items. These can be given as named arguments which is colnames of <code>data.frame</code>.</dd>
<dt>starts.with</dt>
<dd>a string for prefix of variable names to be selected.</dd>
<dt>ends.with</dt>
<dd>a string for suffix of variable names to be selected.</dd></dl>

Arguments

Specifies Manifest Items for glca — item

<dl>

<dt>...</dt>
<dd>vectors of manifest items. These can be given as named arguments which is colnames of <code>data.frame</code>.</dd>


<dt>starts.with</dt>
<dd>a string for prefix of variable names to be selected.</dd>


<dt>ends.with</dt>
<dd>a string for suffix of variable names to be selected.</dd>

</dl>

item: Specifies Manifest Items for `glca`

Description

Usage

Value

Arguments

See Also

Examples