CRAN/E | clhs

clhs

Conditioned Latin Hypercube Sampling

Installation

About

Conditioned Latin hypercube sampling, as published by Minasny and McBratney (2006) doi:10.1016/j.cageo.2005.12.009. This method proposes to stratify sampling in presence of ancillary data. An extension of this method, which propose to associate a cost to each individual and take it into account during the optimisation process, is also proposed (Roudier et al., 2012, doi:10.1201/b12728).

Citation clhs citation info
github.com/pierreroudier/clhs/
Bug report File report

Key Metrics

Version 0.9.0
R ≥ 2.14.0
Published 2021-10-14 926 days ago
Needs compilation? yes
License GPL-2
License GPL-3
CRAN checks clhs results

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Maintainer

Maintainer

Pierre Roudier

roudierp@landcareresearch.co.nz

Authors

Pierre Roudier

aut / cre

Colby Brugnard

ctb

Dylan Beaudette

ctb

Benjamin Louis

ctb

Kiri Daust

ctb

David Clifford

ctb

Material

README
NEWS
Reference manual
Package source

Vignettes

#intro-clhs

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

clhs archive

Depends

R ≥ 2.14.0

Imports

utils
methods
grid
ggplot2
sp
sf
raster
reshape2
plyr
cluster
Rcpp

Suggests

knitr
rmarkdown
testthat

LinkingTo

RcppArmadillo
Rcpp

Reverse Imports

sgsR