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.

Design of Experiments Suite: Generate and Evaluate Optimal
Designs

package-ubuntu-20.04-r-4.0.5#cran#skpr-0.66.5

<p>Calculate Conservative Anticipated Coefficients
</p>

calc_conservative_anticoef(results, effectsize)

<table summary="R argblock">
<tr valign="top">
<td><code>results</code></td>
<td>
<p>The power results matrix</p>
</td>
</tr>
<tr valign="top">
<td><code>effectsize</code></td>
<td>
<p>The effectsize.</p>
</td>
</tr>
</table>

<p>Vector of conservative anticipated coefficients
</p>

package-ubuntu-20.04-r-4.0.5#cran#skpr-0.66.5#docs#calc_conservative_anticoef

calc_conservative_anticoef

Description

Usage

Arguments

Value

skpr

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`results`	The power results matrix
`effectsize`	The effectsize.