stepCriterion

Generic function for selecting variables from a fitted regression model using a chosen criterion.

Set of tools for the statistical analysis of data using: (1) normal linear models; (2) generalized linear models; (3) negative binomial regression models as alternative to the Poisson regression models under the presence of overdispersion; (4) beta-binomial and random-clumped binomial regression models as alternative to the binomial regression models under the presence of overdispersion; (5) Zero-inflated and zero-altered regression models to deal with zero-excess in count data; (6) generalized nonlinear models; (7) generalized estimating equations for cluster correlated data.

Luis Hernando Vanegas

glmtoolbox

Set of Tools to Data Analysis using Generalized Linear Models

Luz Marina Rondón

Gilberto A. Paula

stepCriterion function

<dl><dt>model</dt>
<dd>a fitted model object.</dd>
<dt>...</dt>
<dd>further arguments passed to or from other methods.</dd></dl>

Arguments

Variable selection in regression models from a chosen criterion — stepCriterion

<dl>

<dt>model</dt>
<dd>a fitted model object.</dd>


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

</dl>

stepCriterion: Variable selection in regression models from a chosen criterion

Description

Usage

Value

Arguments