effectpower

Calculates the effect power given the anticipated coefficients and the type-I error

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

effectpower function

<dl><dt>RunMatrix</dt>
<dd>The model matrix</dd>
<dt>levelvector</dt>
<dd>The number of levels in each parameter (1st is always the intercept)</dd>
<dt>anticoef</dt>
<dd>The anticipated coefficients</dd>
<dt>alpha</dt>
<dd>the specified type-I error</dd>
<dt>vinv</dt>
<dd>The V inverse matrix</dd>
<dt>degrees</dt>
<dd>Degrees of freedom</dd></dl>

Arguments

Calculate Effect Power — effectpower

<dl>

<dt>RunMatrix</dt>
<dd>The model matrix</dd>


<dt>levelvector</dt>
<dd>The number of levels in each parameter (1st is always the intercept)</dd>


<dt>anticoef</dt>
<dd>The anticipated coefficients</dd>


<dt>alpha</dt>
<dd>the specified type-I error</dd>


<dt>vinv</dt>
<dd>The V inverse matrix</dd>


<dt>degrees</dt>
<dd>Degrees of freedom</dd>

</dl>

effectpower: Calculate Effect Power

Description

Usage

Value

Arguments