model_parameters

model

Arguments passed to or from other methods.

Compute and extract model parameters. See the documentation for your object's class:<ul>
<li><a rd-options="=model_parameters.htest" href="/link/Correlations%20and%20t-tests?package=parameters&version=0.1.0&to=%3Dmodel_parameters.htest" data-mini-rdoc="=model_parameters.htest::Correlations and t-tests">Correlations and t-tests</a></li>
<li><a rd-options="=model_parameters.aov" href="/link/ANOVAs?package=parameters&version=0.1.0&to=%3Dmodel_parameters.aov" data-mini-rdoc="=model_parameters.aov::ANOVAs">ANOVAs</a></li>
<li><a rd-options="=model_parameters.lm" href="/link/Frequentist%20regressions?package=parameters&version=0.1.0&to=%3Dmodel_parameters.lm" data-mini-rdoc="=model_parameters.lm::Frequentist regressions">Frequentist regressions</a> (<code>lm</code>, <code>glm</code>)</li>
<li><a rd-options="=model_parameters.merMod" href="/link/Frequentist%20mixed%20models?package=parameters&version=0.1.0&to=%3Dmodel_parameters.merMod" data-mini-rdoc="=model_parameters.merMod::Frequentist mixed models">Frequentist mixed models</a> (<code>lme4</code>)</li>
<li><a rd-options="=model_parameters.stanreg" href="/link/Bayesian%20models?package=parameters&version=0.1.0&to=%3Dmodel_parameters.stanreg" data-mini-rdoc="=model_parameters.stanreg::Bayesian models">Bayesian models</a> (<code>rstanarm</code>, <code>brms</code>)</li>
<li><a rd-options="=model_parameters.principal" href="/link/PCA%20and%20FA?package=parameters&version=0.1.0&to=%3Dmodel_parameters.principal" data-mini-rdoc="=model_parameters.principal::PCA and FA">PCA and FA</a> (<code>psych</code>)</li>
<li><a rd-options="=model_parameters.lavaan" href="/link/CFA%20and%20SEM?package=parameters&version=0.1.0&to=%3Dmodel_parameters.lavaan" data-mini-rdoc="=model_parameters.lavaan::CFA and SEM">CFA and SEM</a> (<code>lavaan</code>)</li>
</ul>

Utilities for processing the parameters of various statistical models. Beyond computing p values, CIs, and other indices for a wide variety of models (see support list of insight; L<c3><bc>decke, Waggoner & Makowski (2019) <doi:10.21105/joss.01412>), this package implements features like standardization or bootstrapping of parameters and models, feature reduction (feature extraction and variable selection) as well as conversion between indices of effect size.

Dominique Makowski

parameters

Processing of Model Parameters

Daniel L<c3><bc>decke

Mattan S. Ben-Shachar

Ken Kelley

David Stanley

model_parameters function

Compute and extract model parameters. See the documentation for your object's class:<ul>
<li><a rd-options='=model_parameters.htest' href='Correlations and t-tests'>Correlations and t-tests</a></li>
<li><a rd-options='=model_parameters.aov' href='ANOVAs'>ANOVAs</a></li>
<li><a rd-options='=model_parameters.lm' href='Frequentist regressions'>Frequentist regressions</a> (<code>lm</code>, <code>glm</code>)</li>
<li><a rd-options='=model_parameters.merMod' href='Frequentist mixed models'>Frequentist mixed models</a> (<code>lme4</code>)</li>
<li><a rd-options='=model_parameters.stanreg' href='Bayesian models'>Bayesian models</a> (<code>rstanarm</code>, <code>brms</code>)</li>
<li><a rd-options='=model_parameters.principal' href='PCA and FA'>PCA and FA</a> (<code>psych</code>)</li>
<li><a rd-options='=model_parameters.lavaan' href='CFA and SEM'>CFA and SEM</a> (<code>lavaan</code>)</li>
</ul>

model_parameters: Model Parameters

Description

Usage

Arguments

Value