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lhs (version 1.1.0)
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
30,438
Version
1.1.0
License
GPL-3
Issues
7
Pull Requests
0
Stars
36
Forks
7
Repository
https://github.com/bertcarnell/lhs
Maintainer
Rob Carnell
Last Published
September 29th, 2020
Functions in lhs (1.1.0)
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createAddelKempN
Create an orthogonal array using the Addelman-Kempthorne algorithm with alternate strength with
2q^n
rows.
createBoseBush
Create an orthogonal array using the Bose-Bush algorithm.
createBusht
Create an orthogonal array using the Bush algorithm with alternate strength.
createBose
Create an orthogonal array using the Bose algorithm.
createAddelKemp3
Create an orthogonal array using the Addelman-Kempthorne algorithm with
2q^3
rows.
create_oalhs
Create an orthogonal array Latin hypercube
createBush
Create an orthogonal array using the Bush algorithm.
createBoseBushl
Create an orthogonal array using the Bose-Bush algorithm with alternate strength >= 3.
augmentLHS
Augment a Latin Hypercube Design
createAddelKemp
Create an orthogonal array using the Addelman-Kempthorne algorithm.
randomLHS
Construct a random Latin hypercube design
lhs-package
lhs: Latin Hypercube Samples
maximinLHS
Maximin Latin Hypercube Sample
improvedLHS
Improved Latin Hypercube Sample
geneticLHS
Latin Hypercube Sampling with a Genetic Algorithm
oa_to_oalhs
Create a Latin hypercube from an orthogonal array
runifint
Create a Random Sample of Uniform Integers
optAugmentLHS
Optimal Augmented Latin Hypercube Sample
optimumLHS
Optimum Latin Hypercube Sample
optSeededLHS
Optimum Seeded Latin Hypercube Sample