enumerateGeneralModels

Generate lists of nested models, given a model formula

internal

A suite of functions for computing
various Bayes factors for simple designs, including contingency tables,
one- and two-sample designs, one-way designs, general ANOVA designs, and
linear regression.

R. Morey

BayesFactor

Computation of Bayes Factors for Common Designs

Richard D. Morey

Jeffrey N. Rouder

Tahira Jamil

Simon Urbanek

Karl Forner

Alexander Ly

enumerateGeneralModels function

<dl><dt>fmla</dt>
<dd>formula for the "full" model</dd>
<dt>whichModels</dt>
<dd>which subsets of models to generate</dd>
<dt>neverExclude</dt>
<dd>a character vector of terms to never remove</dd>
<dt>includeBottom</dt>
<dd>Include the base model containing only <code>neverExclude</code> terms</dd>
<dt>data</dt>
<dd>a data frame containing the columns mentioned in <code>fmla</code></dd></dl>

Arguments

Function for generation of nested linear models — enumerateGeneralModels

<dl>

<dt>fmla</dt>
<dd>formula for the "full" model</dd>


<dt>whichModels</dt>
<dd>which subsets of models to generate</dd>


<dt>neverExclude</dt>
<dd>a character vector of terms to never remove</dd>


<dt>includeBottom</dt>
<dd>Include the base model containing only <code>neverExclude</code> terms</dd>


<dt>data</dt>
<dd>a data frame containing the columns mentioned in <code>fmla</code></dd>

</dl>

enumerateGeneralModels: Function for generation of nested linear models

Description

Usage

Arguments

Details