AIC.psem

object

whether correction for small sample size should be applied. Default is <code>FALSE</code>

aicc

Generalized function for SEM AIC(c) score

Implements piecewise structural equation modeling from a single
list of structural equations, with new methods for non-linear, latent, and
composite variables, standardized coefficients, query-based prediction and
indirect effects. See <http://jslefche.github.io/piecewiseSEM/> for more.

Jon Lefcheck

piecewiseSEM

Piecewise Structural Equation Modeling

Jarrett Byrnes

James Grace

AIC.psem function

<dl><dt>object</dt>
<dd>a psem object</dd>
<dt>...</dt>
<dd>additional arguments to AIC</dd>
<dt>aicc</dt>
<dd>whether correction for small sample size should be applied. Default is <code>FALSE</code></dd></dl>

Arguments

Generalized function for SEM AIC(c) score — AIC.psem

<dl>

<dt>object</dt>
<dd>a psem object</dd>


<dt>...</dt>
<dd>additional arguments to AIC</dd>


<dt>aicc</dt>
<dd>whether correction for small sample size should be applied. Default is <code>FALSE</code></dd>

</dl>

AIC.psem: Generalized function for SEM AIC(c) score

Description

Usage

Arguments