Package: BalancedSampling 2.1.1
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-4.5-noble)BalancedSampling_2.1.1.tar.gz(r-4.4-noble)
BalancedSampling_2.1.1.tgz(r-4.4-emscripten)BalancedSampling_2.1.1.tgz(r-4.3-emscripten)
BalancedSampling.pdf |BalancedSampling.html✨
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 23 days agofrom:e812751f53. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 19 2024 |
R-4.5-linux-x86_64 | OK | Nov 19 2024 |
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 |