plot_weight

Plot the weight distribution of the optimal design for univaraite regression model

With given inputs that include number of points, discrete design space, a measure of skewness, models and parameter value, this package calculates the objective value, optimal designs and plot the equivalence theory under A- and D-optimal criteria under the second-order Least squares estimator. This package is based on the paper "Properties of optimal regression designs under the second-order least squares estimator" by Chi-Kuang Yeh and Julie Zhou (2021) <doi:10.1007/s00362-018-01076-6>.

Chi-Kuang Yeh

SLSEdesign

Optimal Regression Design under the Second-Order Least Squares
Estimator

Julie Zhou

Jason Hou-Liu

plot_weight function

<dl><dt>design</dt>
<dd>The resulted design that contains the design points and the associated weights</dd></dl>

Arguments

Plot the weight distribution of the optimal design for univaraite regression model — plot_weight

<dl>

<dt>design</dt>
<dd>The resulted design that contains the design points and the associated weights</dd>

</dl>

plot_weight: Plot the weight distribution of the optimal design for univaraite regression model

Description

Usage

Value

Arguments

Details

Examples