LHD
1.4.1Latin Hypercube Designs (LHDs)
Overview
Contains different algorithms and construction methods for optimal Latin hypercube designs (LHDs) with flexible sizes. Our package is comprehensive since it is capable of generating maximin distance LHDs, maximum projection LHDs, and orthogonal and nearly orthogonal LHDs. Detailed comparisons and summary of all the algorithms and construction methods in this package can be found at Hongzhi Wang, Qian Xiao and Abhyuday Mandal (2021) doi:10.48550/arXiv.2010.09154. This package is particularly useful in the area of Design and Analysis of Experiments (DAE). More specifically, design of computer experiments.
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- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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People & History
12 releases. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 1.4.1Latest
- 1.4.02024-09-11 · diff ↗
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- 1.3.32021-07-31 · diff ↗
- RR 4.1.0 released · 2021-05-18
- 1.3.22021-04-05 · diff ↗
- 1.3.12020-11-18 · diff ↗
- 1.3.02020-11-09 · diff ↗
- 1.2.02020-09-17 · diff ↗
- 1.1.02020-06-02 · diff ↗
- RR 4.0.0 released · 2020-04-24
- 0.1.32020-04-14 · diff ↗
Package metadata
- First published
- 2019-10-07
- Total releases
- 12 / 7 yrs
- License
- MIT + file LICENSE OSI
- Download size
- 56 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet