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clhs

A faster (C++) implementation of the conditioned Latin Hypercube Sampling method

Scope

Installation

The C++ method is not yet on CRAN.

You can install it using the devtools package to install clhs:

devtools::install_github("pierreroudier/clhs")

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Version

Install

install.packages('clhs')

Monthly Downloads

2,891

Version

0.9.2

License

GPL (>= 2)

Issues

9

Pull Requests

1

Stars

13

Forks

10

Maintainer

Pierre Roudier

Last Published

October 20th, 2025

Functions in clhs (0.9.2)

clhs-package

Conditioned Latin Hypercube Sampling
plot.cLHS_result

Plot cLHS results
CppLHS

This is the internal Cpp function used to run the metropolis hasting algorithm if use.cpp = T. In general, it shouldn't be used as a stand alone function, because some preprocessing is done in R
similarity_buffer

Gower similarity analysis
cLHS_result

Conditioned Latin Hypercube Sampling result
clhs

Conditioned Latin Hypercube Sampling