Package: SLSEdesign 0.1.0

SLSEdesign: Optimal Regression Design under the Second-Order Least Squares Estimator

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>.

Authors:Chi-Kuang Yeh [aut, cre], Julie Zhou [aut, ctb], Jason Hou-Liu [ctb]

SLSEdesign_0.1.0.tar.gz
SLSEdesign_0.1.0.zip(r-4.7)SLSEdesign_0.1.0.zip(r-4.6)SLSEdesign_0.1.0.zip(r-4.5)
SLSEdesign_0.1.0.tgz(r-4.6-any)SLSEdesign_0.1.0.tgz(r-4.5-any)
SLSEdesign_0.1.0.tar.gz(r-4.7-any)SLSEdesign_0.1.0.tar.gz(r-4.6-any)
SLSEdesign_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
SLSEdesign/json (API)

# Install 'SLSEdesign' in R:
install.packages('SLSEdesign', repos = c('https://chikuang.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/chikuang/slsedesign/issues

Pkgdown/docs site:https://chikuang.github.io

On CRAN:

Conda:

convex-optimizationcvxdesign-of-experimentsleast-squaresoptimal-designs

4.59 score 3 scripts 2.0k downloads 6 exports 15 dependencies

Last updated from:3b4ef88482. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK164
source / vignettesOK221
linux-release-x86_64OK161
macos-release-arm64OK122
macos-oldrel-arm64OK120
windows-develOK105
windows-releaseOK89
windows-oldrelOK103
wasm-releaseOK129

Exports:Aoptcalc_phicoptDoptplot_dispersionplot_weight

Dependencies:backportscheckmateclarabelcliCVXRgmphighslatticeMatrixosqpRcppRcppEigenS7scsslam

SLSEdesign

Rendered fromSLSEdesign.Rmdusingknitr::rmarkdownon Jun 03 2026.

Last update: 2026-03-06
Started: 2021-07-23