Package: BalancedSampling 2.0.6

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:Anton Grafström, Jonathan Lisic, Wilmer Prentius

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BalancedSampling.pdf |BalancedSampling.html✨
BalancedSampling/json (API)

Peer review:

Bug tracker:https://github.com/envisim/balancedsampling/issues

On CRAN:

19 exports 1.78 score 2 dependencies 1 dependents 2 mentions 53 scripts 498 downloads

Last updated 7 months agofrom:57c0158bb5. Checks:OK: 9. Indexed: yes.

Exports:cubecubestratifiedgenpopPoissongenpopUniformgetPipshlpm2lcpslcubelcubestratifiedlpmlpm1lpm1slpm2rpmsbsblbscpsspmvsb

Dependencies:RcppRcppArmadillo