Package: CompExpDes 1.0.7

Ashutosh Dalal

CompExpDes: Designs for Computer Experimentations

In computer experiments space-filling designs are having great impact. Most popularly used space-filling designs are Uniform designs (UDs), Latin hypercube designs (LHDs) etc. For further references one can see Mckay (1979) <doi:10.1080/00401706.1979.10489755> and Fang (1980) <https://cir.nii.ac.jp/crid/1570291225616774784>. In this package, we have provided algorithms for generate efficient LHDs and UDs. Here, generated LHDs are efficient as they possess lower value of Maxpro measure, Phi_p value and Maximum Absolute Correlation (MAC) value based on the weightage given to each criterion. On the other hand, the produced UDs are having good space-filling property as they always attain the lower bound of Discrete Discrepancy measure. Further, some useful functions added in this package for adding more value to this package.

Authors:Ashutosh Dalal [aut, cre], Cini Varghese [aut, ctb], Rajender Parsad [aut, ctb], Mohd Harun [aut, ctb]

CompExpDes_1.0.7.tar.gz
CompExpDes_1.0.7.tar.gz(r-4.5-noble)CompExpDes_1.0.7.tar.gz(r-4.4-noble)
CompExpDes_1.0.7.tgz(r-4.4-emscripten)CompExpDes_1.0.7.tgz(r-4.3-emscripten)
CompExpDes.pdf |CompExpDes.html✨
CompExpDes/json (API)

# Install 'CompExpDes' in R:
install.packages('CompExpDes', repos = 'https://cloud.r-project.org')

On CRAN:

Conda:

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

1.85 score 268 downloads 14 exports 0 dependencies

Last updated 5 days agofrom:67468975fb. Checks:3 OK. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKMar 29 2025
R-4.5-linuxOKMar 29 2025
R-4.4-linuxOKMar 29 2025

Exports:Best_ModelDiscrete_DiscrepancyMACMaxpro_MeasureMeeting_NumberNOLHDsOLHDs_2FPhipMeasureSLHDsUDesigns_IUDesigns_IIUDesigns_IIIwtLHDswtLHDs_prime

Dependencies:

Citation

To cite package ‘CompExpDes’ in publications use:

Dalal A, Varghese C, Parsad R, Harun M (2025). CompExpDes: Designs for Computer Experimentations. R package version 1.0.7, https://CRAN.R-project.org/package=CompExpDes.

Corresponding BibTeX entry: 

  @Manual{,
    title = {CompExpDes: Designs for Computer Experimentations},
    author = {Ashutosh Dalal and Cini Varghese and Rajender Parsad and
      Mohd Harun},
    year = {2025},
    note = {R package version 1.0.7},
    url = {https://CRAN.R-project.org/package=CompExpDes},
  }