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lhs (version 1.1.1)
Latin Hypercube Samples
Description
Provides a number of methods for creating and augmenting Latin Hypercube Samples and Orthogonal Array Latin Hypercube Samples.
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Install
install.packages('lhs')
Monthly Downloads
28,638
Version
1.1.1
License
GPL-3
Issues
7
Pull Requests
0
Stars
36
Forks
7
Repository
https://github.com/bertcarnell/lhs
Maintainer
Rob Carnell
Last Published
October 5th, 2020
Functions in lhs (1.1.1)
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createAddelKemp
Create an orthogonal array using the Addelman-Kempthorne algorithm.
createBusht
Create an orthogonal array using the Bush algorithm with alternate strength.
createBose
Create an orthogonal array using the Bose algorithm.
createBoseBushl
Create an orthogonal array using the Bose-Bush algorithm with alternate strength >= 3.
createBush
Create an orthogonal array using the Bush algorithm.
createAddelKemp3
Create an orthogonal array using the Addelman-Kempthorne algorithm with
2q^3
rows.
createBoseBush
Create an orthogonal array using the Bose-Bush algorithm.
augmentLHS
Augment a Latin Hypercube Design
createAddelKempN
Create an orthogonal array using the Addelman-Kempthorne algorithm with alternate strength with
2q^n
rows.
optSeededLHS
Optimum Seeded Latin Hypercube Sample
create_oalhs
Create an orthogonal array Latin hypercube
maximinLHS
Maximin Latin Hypercube Sample
lhs-package
lhs: Latin Hypercube Samples
optimumLHS
Optimum Latin Hypercube Sample
geneticLHS
Latin Hypercube Sampling with a Genetic Algorithm
oa_to_oalhs
Create a Latin hypercube from an orthogonal array
improvedLHS
Improved Latin Hypercube Sample
optAugmentLHS
Optimal Augmented Latin Hypercube Sample
randomLHS
Construct a random Latin hypercube design
runifint
Create a Random Sample of Uniform Integers