summary.PowRPriori

Provides a detailed and context-aware summary of a <code>PowRPriori</code> object. The output
includes the power table, parameter recovery diagnostics for fixed and random
effects, and (if applicable) calculated Intra-Class Correlations (ICCs). The output is
tailored for different model types (LM, LMM, GLMM).

Conduct a priori power analyses via Monte-Carlo style data simulation for linear and generalized linear mixed-effects models (LMMs/GLMMs). Provides a user-friendly workflow with helper functions to easily define fixed and random effects as well as diagnostic functions to evaluate the adequacy of the results of the power analysis.

Markus Grill

PowRPriori

Power Analysis via Data Simulation for (Generalized) Linear
Mixed Effects Models

summary.PowRPriori function

<dl><dt>object</dt>
<dd>An object of class <code>PowRPriori</code> returned by <code>power_sim()</code>.</dd>
<dt>...</dt>
<dd>Additional arguments (not used).</dd></dl>

Arguments

Summarize a Power Simulation Result — summary.PowRPriori

<dl>

<dt>object</dt>
<dd>An object of class <code>PowRPriori</code> returned by <code>power_sim()</code>.</dd>


<dt>...</dt>
<dd>Additional arguments (not used).</dd>

</dl>

summary.PowRPriori: Summarize a Power Simulation Result

Description

Usage

Value

Arguments