gen_momentsmatrix_constrained

Treats the min–max range of each numeric column as a bounding box
and samples points uniformly to approximate the integral of the outer product of
the model terms, weighted by whether the point
is on the edge.

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

gen_momentsmatrix_constrained function

<dl><dt>candidate_set</dt>
<dd>Candidate set</dd>
<dt>formula</dt>
<dd>Default `~ .`. Model formula specifying the terms.</dd>
<dt>n_samples_per_dimension</dt>
<dd>Default `10`. Number of samples to take per dimension when interpolating inside
the convex hull.</dd></dl>

Arguments

Approximate continuous moment matrix over a numeric bounding box — gen_momentsmatrix_constrained

<dl>

<dt>candidate_set</dt>
<dd>Candidate set</dd>


<dt>formula</dt>
<dd>Default `~ .`. Model formula specifying the terms.</dd>


<dt>n_samples_per_dimension</dt>
<dd>Default `10`. Number of samples to take per dimension when interpolating inside
the convex hull.</dd>

</dl>

gen_momentsmatrix_constrained: Approximate continuous moment matrix over a numeric bounding box

Description

Usage

Value

Arguments