effectpowermc

Calculates the p-values for the effect power calculation in Monte Carlo

internal

Generates and evaluates D, I, A, Alias, E, T, and G optimal designs. Supports generation and evaluation of blocked and split/split-split/.../N-split plot designs. Includes parametric and Monte Carlo power evaluation functions, and supports calculating power for censored responses. Provides a framework to evaluate power using functions provided in other packages or written by the user. Includes a Shiny graphical user interface that displays the underlying code used to create and evaluate the design to improve ease-of-use and make analyses more reproducible. For details, see Morgan-Wall et al. (2021) <doi:10.18637/jss.v099.i01>.

Tyler Morgan-Wall

skpr

Design of Experiments Suite: Generate and Evaluate Optimal
Designs

George Khoury

effectpowermc function

<dl><dt>fit</dt>
<dd>Fit from regression</dd>
<dt>type</dt>
<dd>Default `III`</dd>
<dt>test</dt>
<dd>Default `Pr(&gt;Chisq)`.</dd>
<dt>...</dt>
<dd>Additional arguments to pass to car::Anova</dd></dl>

Arguments

Fit Anova for Effect Power Calculation in Monte Carlo — effectpowermc

<dl>

<dt>fit</dt>
<dd>Fit from regression</dd>


<dt>type</dt>
<dd>Default `III`</dd>


<dt>test</dt>
<dd>Default `Pr(&gt;Chisq)`.</dd>


<dt>...</dt>
<dd>Additional arguments to pass to car::Anova</dd>

</dl>

effectpowermc: Fit Anova for Effect Power Calculation in Monte Carlo

Description

Usage

Value

Arguments