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CompExpDes  

Computer Experiment Designs
View on CRAN: Click here


Download and install CompExpDes package within the R console
Install from CRAN:
install.packages("CompExpDes")

Install from Github:
library("remotes")
install_github("cran/CompExpDes")

Install by package version:
library("remotes")
install_version("CompExpDes", "1.0.6")



Attach the package and use:
library("CompExpDes")
Maintained by
Ashutosh Dalal
[Scholar Profile | Author Map]
First Published: 2024-03-28
Latest Update: 2024-03-28
Description:
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) and Fang (1980) . 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. On the other hand, the produced UDs are having good space-filling property as they attained the lower bound of Discrete Discrepancy measure.
How to cite:
Ashutosh Dalal (2024). CompExpDes: Computer Experiment Designs. R package version 1.0.6, https://cran.r-project.org/web/packages/CompExpDes. Accessed 24 Feb. 2025.
Previous versions and publish date:
1.0.0 (2024-03-28 16:50), 1.0.1 (2024-08-18 09:10), 1.0.2 (2024-08-21 12:00), 1.0.3 (2024-09-03 21:50), 1.0.4 (2024-09-26 22:10), 1.0.5 (2024-11-04 13:50)
Other packages that cited CompExpDes R package
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Complete documentation for CompExpDes
Functions, R codes and Examples using the CompExpDes R package
Full CompExpDes package functions and examples
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