gvif.lm

Computes the generalized variance inflation factor (GVIF) for a weighted or unweighted normal linear model.

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

gvif.lm function

<dl><dt>model</dt>
<dd>an object of the class lm.</dd>
<dt>verbose</dt>
<dd>an (optional) logical switch indicating if should the report of results be printed. As default, <code>verbose</code> is set to TRUE.</dd>
<dt>...</dt>
<dd>further arguments passed to or from other methods.</dd></dl>

Arguments

Generalized Variance Inflation Factor — gvif.lm

<dl>

<dt>model</dt>
<dd>an object of the class lm.</dd>


<dt>verbose</dt>
<dd>an (optional) logical switch indicating if should the report of results be printed. As default, <code>verbose</code> is set to TRUE.</dd>


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

</dl>

`GVIF`	the values of GVIF,

`df`	the number of degrees of freedom,

`GVIF^(1/(2*df))`	the values of GVIF\(^{1/2 df}\),

gvif.lm: Generalized Variance Inflation Factor

Description

Usage

Value

Arguments

Details

References

See Also

Examples