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 and spatially correlated Poisson sampling (for spatially balanced sampling) are included. Also the cube method (for balanced sampling) and the local cube method (for doubly balanced sampling) are included.
|Author||Anton Grafström, Jonathan Lisic|
|Date of publication||2016-07-04 20:28:57|
|Maintainer||Anton Grafström <firstname.lastname@example.org>|
|License||GPL (>= 2)|
BalancedSampling-package: Balanced and Spatially Balanced Sampling
cube: Cube method (Balanced sampling)
cubestratified: Stratified balanced sampling with pooling of landing phases
flightphase: Flight phase of the cube method
landingphase: Landing phase of the cube method
lcube: Local cube method (Doubly balanced sampling)
lcubeflightphase: Flight phase for the local cube method
lcubelandingphase: Landing phase for the local cube method
lcubestratified: Stratified doubly balanced sampling with pooling of landing...
lpm: Local pivotal method (sub-optimal)
lpm1: Local pivotal method 1
lpm2: Local pivotal method 2
lpm2_kdtree: Local Pivotal Method
probabilities: Inclusion probabilities
rpm: Random pivotal method
sb: Spatial balance
scps: Spatially correlated Poisson sampling
spm: Sequential pivotal method (also known as ordered pivotal...
vsb: Variance estimator for spatially balanced sample