Package: Spbsampling 1.3.5

Spbsampling: Spatially Balanced Sampling

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) <arxiv:1710.09116>. The implementation has been done in C++ through the use of 'Rcpp' and 'RcppArmadillo'.

Authors:Francesco Pantalone [aut, cre], Roberto Benedetti [aut], Federica Piersimoni [aut]

Spbsampling_1.3.5.tar.gz
Spbsampling_1.3.5.zip(r-4.7)Spbsampling_1.3.5.zip(r-4.6)Spbsampling_1.3.5.zip(r-4.5)
Spbsampling_1.3.5.tgz(r-4.6-x86_64)Spbsampling_1.3.5.tgz(r-4.6-arm64)Spbsampling_1.3.5.tgz(r-4.5-x86_64)Spbsampling_1.3.5.tgz(r-4.5-arm64)
Spbsampling_1.3.5.tar.gz(r-4.7-arm64)Spbsampling_1.3.5.tar.gz(r-4.7-x86_64)Spbsampling_1.3.5.tar.gz(r-4.6-arm64)Spbsampling_1.3.5.tar.gz(r-4.6-x86_64)
Spbsampling_1.3.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION |NEWS
card.svg |card.png
Spbsampling/json (API)

# Install 'Spbsampling' in R:
install.packages('Spbsampling', repos = c('https://francescopantalone.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/francescopantalone/spbsampling/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • income_emilia - The income of municipalities of "Emilia Romagna".
  • lucas_abruzzo - LUCAS data for the region "Abruzzo", Italy.
  • simul1 - Simulated Population 1.
  • simul2 - Simulated Population 2.
  • simul3 - Simulated Population 3.

On CRAN:

Conda:

sampling-methodsspatial-datacpp

3.18 score 3 stars 5 scripts 331 downloads 6 exports 2 dependencies

Last updated from:8e236a298f. Checks:11 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE131
linux-devel-x86_64NOTE128
source / vignettesOK194
linux-release-arm64NOTE129
linux-release-x86_64NOTE138
macos-release-arm64NOTE203
macos-release-x86_64NOTE295
macos-oldrel-arm64NOTE161
macos-oldrel-x86_64NOTE264
windows-develNOTE165
windows-releaseNOTE139
windows-oldrelNOTE148
wasm-releaseOK119

Exports:hpwdpwdsbistprodstsumswd

Dependencies:RcppRcppArmadillo