CRAN/E | Spbsampling

Spbsampling

Spatially Balanced Sampling

Installation

About

Selection of spatially balanced samples. In particular, the implemented sampling designs allow to select probability samples well spread over the population of interest, in any dimension and using any distance function (e.g. Euclidean distance, Manhattan distance). For more details, Pantalone F, Benedetti R, and Piersimoni F (2022) doi:10.18637/jss.v103.c02, Benedetti R and Piersimoni F (2017) doi:10.1002/bimj.201600194, and Benedetti R and Piersimoni F (2017) . The implementation has been done in C++ through the use of 'Rcpp' and 'RcppArmadillo'.

Citation Spbsampling citation info

Key Metrics

Version 1.3.5
R ≥ 3.1
Published 2022-08-24 461 days ago
Needs compilation? yes
License GPL-3
CRAN checks Spbsampling results

Downloads

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Maintainer

Maintainer

Francesco Pantalone

pantalone.fra@gmail.com

Authors

Francesco Pantalone

aut / cre

Roberto Benedetti

aut

Federica Piersimoni

aut

Material

README
NEWS
Reference manual
Package source

In Views

Spatial

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

Spbsampling archive

Depends

R ≥ 3.1

Imports

Rcpp

LinkingTo

Rcpp
RcppArmadillo