Package: BalancedSampling 2.1.1
Anton Grafström
BalancedSampling: Balanced and Spatially Balanced Sampling
Select balanced and spatially balanced probability samples in multi-dimensional spaces with any prescribed inclusion probabilities. It contains fast (C++ via Rcpp) implementations of the included sampling methods. The local pivotal method by Grafström, Lundström and Schelin (2012) <doi:10.1111/j.1541-0420.2011.01699.x> and spatially correlated Poisson sampling by Grafström (2012) <doi:10.1016/j.jspi.2011.07.003> are included. Also the cube method (for balanced sampling) and the local cube method (for doubly balanced sampling) are included, see Grafström and Tillé (2013) <doi:10.1002/env.2194>.
Authors:
BalancedSampling_2.1.1.tar.gz
BalancedSampling_2.1.1.tar.gz(r-4.7-arm64)BalancedSampling_2.1.1.tar.gz(r-4.7-x86_64)BalancedSampling_2.1.1.tar.gz(r-4.6-arm64)BalancedSampling_2.1.1.tar.gz(r-4.6-x86_64)
BalancedSampling_2.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
BalancedSampling/json (API)
| # Install 'BalancedSampling' in R: |
| install.packages('BalancedSampling', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/envisim/balancedsampling/issues
Last updated from:e812751f53. Checks:6 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 136 | ||
| linux-devel-x86_64 | OK | 139 | ||
| source / vignettes | OK | 188 | ||
| linux-release-arm64 | OK | 119 | ||
| linux-release-x86_64 | OK | 133 | ||
| wasm-release | OK | 127 |
Exports:cubecubestratifiedgenpopPoissongenpopUniformgetPipshlpm2lcpslcubelcubestratifiedlpmlpm1lpm1slpm2rpmsbsblbscpsspmvsb
Dependencies:RcppRcppArmadillo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| The Cube method | cube cubestratified |
| Generate populations | genpopPoisson genpopUniform |
| Inclusion probabilities proportional-to-size | getPips |
| Hierarchical Local Pivotal Method 2 | hlpm2 |
| The Local Cube method | lcube lcubestratified |
| The (Local) Pivotal Methods | lpm lpm1 lpm1s lpm2 rpm spm |
| Spatial balance | sb sblb |
| Spatially Correlated Poisson Sampling | lcps scps |
| Variance estimator for spatially balanced samples | vsb |
