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CompExpDes
View on CRAN: Click
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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
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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 23 Dec. 2024.
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