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>Generates Anticipated Coefficients
</p>

gen_anticoef(RunMatrix, model, nointercept)

<table summary="R argblock">
<tr valign="top">
<td><code>RunMatrix</code></td>
<td>
<p>The run matrix</p>
</td>
</tr>
<tr valign="top">
<td><code>model</code></td>
<td>
<p>The model</p>
</td>
</tr>
<tr valign="top">
<td><code>nointercept</code></td>
<td>
<p>TRUE if intercept not in model</p>
</td>
</tr>
</table>

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

gen_anticoef

Description

Usage

Arguments

Value

skpr

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`RunMatrix`	The run matrix
`model`	The model
`nointercept`	TRUE if intercept not in model