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.

Piecewise Structural Equation Modeling

package-ubuntu-20.04-r-4.0.5#cran#piecewiseSEM-2.1.2

<p>Generalized function for SEM AIC(c) score
</p>

## S3 method for class 'psem'
AIC(object, ..., aicc = FALSE)

<table summary="R argblock">
<tr valign="top">
<td><code>object</code></td>
<td>
<p>a psem object</p>
</td>
</tr>
<tr valign="top">
<td><code>...</code></td>
<td>
<p>additional arguments to AIC</p>
</td>
</tr>
<tr valign="top">
<td><code>aicc</code></td>
<td>
<p>whether correction for small sample size should be applied. Default is <code>FALSE</code></p>
</td>
</tr>
</table>

package-ubuntu-20.04-r-4.0.5#cran#piecewiseSEM-2.1.2#docs#AIC.psem

`object`	a psem object
`...`	additional arguments to AIC
`aicc`	whether correction for small sample size should be applied. Default is `FALSE`

AIC.psem

Description

Usage

Arguments

piecewiseSEM

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