interpolate_convex_hull

Interpolate points within a convex hull

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

interpolate_convex_hull function

<dl><dt>points</dt>
<dd>A numeric matrix (n x d).</dd>
<dt>ch_halfspace</dt>
<dd>Convex hull. Output of <code>convhull_halfspace</code></dd>
<dt>n_samples_per_dimension</dt>
<dd>Number of samples per dimension (pre filtering) to take</dd></dl>

Arguments

Interpolate points within a convex hull — interpolate_convex_hull

<dl>

<dt>points</dt>
<dd>A numeric matrix (n x d).</dd>


<dt>ch_halfspace</dt>
<dd>Convex hull. Output of <code>convhull_halfspace</code></dd>


<dt>n_samples_per_dimension</dt>
<dd>Number of samples per dimension (pre filtering) to take</dd>

</dl>

interpolate_convex_hull: Interpolate points within a convex hull

Description

Usage

Value

Arguments