Package: SLSEdesign 0.0.3
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_0.0.3.tar.gz
SLSEdesign_0.0.3.zip(r-4.5)SLSEdesign_0.0.3.zip(r-4.4)SLSEdesign_0.0.3.zip(r-4.3)
SLSEdesign_0.0.3.tgz(r-4.4-any)SLSEdesign_0.0.3.tgz(r-4.3-any)
SLSEdesign_0.0.3.tar.gz(r-4.5-noble)SLSEdesign_0.0.3.tar.gz(r-4.4-noble)
SLSEdesign_0.0.3.tgz(r-4.4-emscripten)SLSEdesign_0.0.3.tgz(r-4.3-emscripten)
SLSEdesign.pdf |SLSEdesign.html✨
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
convex-optimizationcvxdesign-of-experimentsleast-squaresoptimal-designs
Last updated 2 months agofrom:dcd5488d5e. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 04 2024 |
| R-4.5-win | OK | Nov 04 2024 |
| R-4.5-linux | OK | Nov 04 2024 |
| R-4.4-win | OK | Nov 04 2024 |
| R-4.4-mac | OK | Nov 04 2024 |
| R-4.3-win | OK | Nov 04 2024 |
| R-4.3-mac | OK | Nov 04 2024 |
Exports:Aoptcalc_phiAcalc_phiDDoptplot_direction_Aoptplot_direction_Doptplot_weight
Dependencies:bitbit64clarabelCVXRECOSolveRgmplatticeMatrixosqpR6RcppRcppEigenRmpfrscs
