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

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SLSEdesign/json (API)

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

Peer review:

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

On CRAN:

convex-optimizationcvxdesign-of-experimentsleast-squaresoptimal-designs

7 exports 1.22 score 14 dependencies 2 scripts 691 downloads

Last updated 2 months agofrom:75bde6407f. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 17 2024
R-4.5-winOKSep 17 2024
R-4.5-linuxOKSep 17 2024
R-4.4-winOKSep 17 2024
R-4.4-macOKSep 17 2024
R-4.3-winOKSep 17 2024
R-4.3-macOKSep 17 2024

Exports:Aoptcalc_phiAcalc_phiDDoptplot_direction_Aoptplot_direction_Doptplot_weight

Dependencies:bitbit64clarabelCVXRECOSolveRgmplatticeMatrixosqpR6RcppRcppEigenRmpfrscs

SLSEdesign

Rendered fromSLSEdesign.Rmdusingknitr::rmarkdownon Sep 17 2024.

Last update: 2024-05-29
Started: 2021-07-23