Installation | Specify the input for the program | Manage the outputs | Plot the directional derivative to use the equivalence theorem for 3rd order polynomial models | D-optimal design | A-optimal design | Plot the directional derivative to use the equivalence theorem for peleg model under c-optimality
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:
SLSEdesign_0.1.0.tar.gz
SLSEdesign_0.1.0.zip(r-4.7-any)SLSEdesign_0.1.0.zip(r-4.6-any)SLSEdesign_0.1.0.zip(r-4.5-any)
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✨
DESCRIPTION
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
convex-optimizationcvxdesign-of-experimentsleast-squaresoptimal-designs
Last updated from:3b4ef88482. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 163 | ||
| source / vignettes | OK | 193 | ||
| linux-release | OK | 157 | ||
| macos-release | OK | 91 | ||
| macos-oldrel | OK | 110 | ||
| windows-devel | OK | 95 | ||
| windows-release | OK | 87 | ||
| windows-oldrel | OK | 338 | ||
| wasm-release | OK | 139 |
Exports:Aoptcalc_phicoptDoptplot_dispersionplot_weight
Dependencies:backportscheckmateclarabelcliCVXRgmphighslatticeMatrixosqpRcppRcppEigenS7scsslam
