lhs v1.0.1
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Latin Hypercube Samples
Provides a number of methods for creating and augmenting Latin Hypercube Samples.
Readme
lhs
This package provides a number of methods for creating and augmenting Latin Hypercube Samples
Linux & MacOS | Windows | Code Coverage | CRAN Downloads | CRAN |
---|---|---|---|---|
Visit the webpage here
See the Doxygen documentation here
Installation
You can install the released version of lhs
from CRAN with:
install.packages("lhs")
You can also install the development version of lhs
from here with:
# (if not done already:) install.packages("devtools")
devtools::install_github("bertcarnell/lhs")
Example
Create a random LHS with 10 samples and 3 variables
X <- randomLHS(10, 3)
Development
The reverse dependency checks for lhs can be found here.
Help
R-Help Examples of using the LHS package
- Latin hyper cube sampling from expand.grid()
- Latin Hypercube Sampling with a condition
- Latin Hypercube with condition sum = 1
- Latin hypercube sampling
- Latin Hypercube Sample and transformation to uniformly distributed integers or classes
- Latin hypercube sampling from a non-uniform distribution
- Latin Hypercube Sampling when parameters are defined according to specific probability distributions
Other
lhs package announcement: R-pkgs New R-Packages: Triangle and LHS
Functions in lhs
Name | Description | |
createAddelKemp | Create an orthogonal array using the Addelman-Kempthorne algorithm | |
createBoseBush | Create an orthogonal array using the Bose-Bush algorithm | |
lhs-package | lhs: Latin Hypercube Samples | |
createBoseBushl | Create an orthogonal array using the Bose-Bush algorithm with alternate strength >= 3 | |
geneticLHS | Latin Hypercube Sampling with a Genetic Algorithm | |
createAddelKempN | Create an orthogonal array using the Addelman-Kempthorne algorithm with alternate strength | |
createBush | Create an orthogonal array using the Bush algorithm | |
randomLHS | Construct a random Latin hypercube design | |
optSeededLHS | Optimum Seeded Latin Hypercube Sample | |
optimumLHS | Optimum Latin Hypercube Sample | |
maximinLHS | Maximin Latin Hypercube Sample | |
runifint | Create a Random Sample of Uniform Integers | |
oa_to_oalhs | Create a Latin hypercube from an orthogonal array | |
optAugmentLHS | Optimal Augmented Latin Hypercube Sample | |
improvedLHS | Improved Latin Hypercube Sample | |
createBose | Create an orthogonal array using the Bose algorithm | |
createAddelKemp3 | Create an orthogonal array using the Addelman-Kempthorne algorithm with 2*q^3 rows | |
createBusht | Create an orthogonal array using the Bush algorithm with alternate strength | |
create_oalhs | Create an orthogonal array Latin hypercube | |
augmentLHS | Augment a Latin Hypercube Design | |
No Results! |
Vignettes of lhs
Name | ||
VignetteCommonCode.R | ||
augment_lhs.Rmd | ||
lhs_basics.Rmd | ||
lhs_faq.Rmd | ||
No Results! |
Last month downloads
Details
License | GPL-3 |
Encoding | UTF-8 |
LazyData | true |
LinkingTo | Rcpp |
URL | https://github.com/bertcarnell/lhs |
BugReports | https://github.com/bertcarnell/lhs/issues |
RoxygenNote | 6.1.1 |
VignetteBuilder | knitr |
NeedsCompilation | yes |
Packaged | 2019-02-02 20:54:26 UTC; bertc |
Repository | CRAN |
Date/Publication | 2019-02-03 11:00:14 UTC |
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