stepwise

a model object of a class that can be handled by <code>stepAIC</code>.

if <code>"backward/forward"</code> (the default), selection starts with
    the full model and eliminates predictors one at a time, at each step considering whether the
    criterion will be improved by adding back in a variable removed at a previous st

direction

for selection. Either <code>"BIC"</code> (the default) or <code>"AIC"</code>. Note that
    <code>stepAIC</code> labels the criterion in the output as <code>"AIC"</code> regardless of which
    criterion is employed.

criterion

arguments to be passed to <code>stepAIC</code>.

This function is a front end to the <code><a href="/link/stepAIC?package=QCAGUI&version=1.8-4" rd-options="" data-mini-rdoc="QCAGUI::stepAIC">stepAIC</a></code> function in the
<pkg>MASS</pkg> package.

models

QCAGUI is a graphical user interface (GUI) for the QCA
        package, derived from R Commander.  Because QCA has little to
        do with statistics, the menus from Rcmdr were stripped down to
        the very basics.  In crisp sets QCA, data is binary therefore
        it is fairly decent to treat it as categorical (1 - presence; 0
        - absence).  In order to ease the primary analysis (e.g. tables
        of frequencies) and the creation of basic graphs, this package
        activates some menus that are not available in Rcmdr but for
        factors. Users should be aware, however, that QCAGUI is not a
        package for statistics; Rcmdr is better suited for this
        purpose.

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stepwise: Stepwise Model Selection

Description

Usage

Arguments

Value

References