summary.mp_model

Provide the summarized parameter estimates for a <code>mp_model</code>,
including the variance explained break downs.

A declarative language for specifying multilevel models,
solving for population parameters based on specified variance-explained effect
size measures, generating data, and conducting power analyses to determine
sample size recommendations. The specification allows for any number of
within-cluster effects, between-cluster effects, covariate effects
at either level, and random coefficients. Moreover, the models do not
assume orthogonal effects, and predictors can correlate at either level
and accommodate models with multiple interaction effects.

Brian T. Keller

mlmpower

Power Analysis and Data Simulation for Multilevel Models

summary.mp_model function

<dl><dt>object</dt>
<dd>a <code>mp_model</code></dd>
<dt>...</dt>
<dd>other arguments not used by this method.</dd></dl>

Arguments

Obtain the Parameter Summaries for A mp_model — summary.mp_model

<dl>

<dt>object</dt>
<dd>a <code>mp_model</code></dd>


<dt>...</dt>
<dd>other arguments not used by this method.</dd>

</dl>

summary.mp_model: Obtain the Parameter Summaries for A `mp_model`

Description

Usage

Value

Arguments

Examples