CompExpDes
1.0.9Designs for Computer Experimentations
Overview
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.
Install
Health
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 71%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 71%
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
People & History
10 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 1.0.9Latest
- 1.0.82025-07-25 · diff ↗
- RR 4.5.0 released · 2025-04-11
- 1.0.72025-03-29 · diff ↗
- 1.0.62024-11-28 · diff ↗
- 1.0.52024-11-04 · diff ↗
- 1.0.42024-09-26 · diff ↗
- 1.0.32024-09-03 · diff ↗
- 1.0.22024-08-21 · diff ↗
- 1.0.12024-08-18 · diff ↗
- RR 4.4.0 released · 2024-04-24
- 1.0.02024-03-28
- RR 4.3.0 released · 2023-04-21
Package metadata
- First published
- 2024-03-28
- Total releases
- 10 / 2 yrs
- License
- GPL (>= 2) OSI
- Download size
- 20 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet