Automated model selection and model-averaging. Provides a
wrapper for glm and other functions, automatically generating
all possible models (under constraints set by the user) with
the specified response and explanatory variables, and finding
the best models in terms of some Information Criterion (AIC,
AICc or BIC). Can handle very large numbers of candidate
models. Features a Genetic Algorithm to find the best models
when an exhaustive screening of the candidates is not feasible.

Model Selection and Multimodel Inference Made Easy

package-ubuntu-20.04-r-4.0.5#cran#glmulti-1.0.8

Prepares a table with model formulas, IC values and IC relative supports

<table summary="R argblock">
<tr valign="top">
<td><code>object</code></td>
<td>
 A <code>glmulti</code> object
</td>
</tr>
<tr valign="top">
<td><code>...</code></td>
<td>
For further improvements
</td>
</tr>
</table>

A data frame with the list of formulas, IC values and IC weights

Jarret Byrnes and Vincent Calcagno, McGill University

<code><a href="glmulti.html">glmulti</a></code>

package-ubuntu-20.04-r-4.0.5#cran#glmulti-1.0.8#docs#weightable

`object`	A `glmulti` object
`...`	For further improvements

weightable

Description

Usage

Arguments

Value

Author(s)

See Also

glmulti

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