Package: OptimaRegion 1.2

OptimaRegion: Confidence Regions for Optima of Response Surfaces

Computes confidence regions on the location of response surface optima. Response surface models can be up to cubic polynomial models in up to 5 controllable factors, or Thin Plate Spline models in 2 controllable factors.

Authors:Enrique del Castillo, Peng Chen, Adam Meyers, John Hunt, and James Rapkin

OptimaRegion_1.2.tar.gz
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OptimaRegion.pdf |OptimaRegion.html
OptimaRegion/json (API)

# Install 'OptimaRegion' in R:
install.packages('OptimaRegion', repos = c('https://exd13.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • Drug - Mixture-amount experiment dataset
  • cubic_5D - Simulated dataset based on a cubic function
  • quad_3D - Central composite design experiment dataset

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

5 exports 0.00 score 64 dependencies 5 scripts 290 downloads

Last updated 2 years agofrom:95d98a067f. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 26 2024
R-4.5-winOKAug 26 2024
R-4.5-linuxOKAug 26 2024
R-4.4-winOKAug 26 2024
R-4.4-macOKAug 26 2024
R-4.3-winOKAug 26 2024
R-4.3-macOKAug 26 2024

Exports:CRcompareGloptiPolyRGloptiPolyRegionOptRegionQuadOptRegionTps

Dependencies:abindbootclicolorspacecubatureDEoptimRDepthProcdotCall64estimabilityfansifarverfieldsgeometryggplot2gluegtableisobandlabelinglatticelifecyclelinproglpSolvemagicmagrittrmapsMASSMatrixMatrixModelsmgcvmunsellmvtnormnlmenloptrnppcaPPpillarpkgconfigquadprogquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppProgressRdpackRdsdprlangrobustbaserrcovrsmscalessmspamSparseMstringistringrsurvivaltibbleutf8vctrsviridisLitewithrzoo