genparammatrix

Generates the parameter matrix L to isolate the levels of interest
in the calculation of power

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

genparammatrix function

<dl><dt>parameters</dt>
<dd>Number of parameters total in model.</dd>
<dt>levels</dt>
<dd>Number of levels in parameter of interest</dd>
<dt>g</dt>
<dd>Number of levels/parameters preceeding parameter of interest</dd></dl>

Arguments

Generate Parameter Matrix — genparammatrix

<dl>

<dt>parameters</dt>
<dd>Number of parameters total in model.</dd>


<dt>levels</dt>
<dd>Number of levels in parameter of interest</dd>


<dt>g</dt>
<dd>Number of levels/parameters preceeding parameter of interest</dd>

</dl>

genparammatrix: Generate Parameter Matrix

Description

Usage

Value

Arguments