Learn R Programming
⚠️There's a newer version (2.0.6) of this package.Take me there.

BalancedSampling (version 1.6.3)

Balanced and Spatially Balanced Sampling

Description

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) and spatially correlated Poisson sampling by Grafström (2012) 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) .

Copy Link

Version

Install

install.packages('BalancedSampling')

Monthly Downloads

968

Version

1.6.3

License

GPL (>= 2)

Maintainer

Anton Grafstrm

Last Published

June 29th, 2022

Functions in BalancedSampling (1.6.3)

flightphase

Flight phase of the cube method
hlpm

Hierarchical local pivotal method
lcubeflightphase

Flight phase for the local cube method
cube

Cube method (Balanced sampling)
scps_getrand

Spatially correlated Poisson sampling
landingphase

Landing phase of the cube method
cubestratified

Stratified balanced sampling with pooling of landing phases
scps

Spatially correlated Poisson sampling
sb

Spatial balance
BalancedSampling-package

Balanced and Spatially Balanced Sampling
scps_coord

Spatially correlated Poisson sampling with coordination
lcps

Locally correlated Poisson samling
lpm1

Local pivotal method 1
lcubelandingphase

Landing phase for the local cube method
lcube

Local cube method (Doubly balanced sampling)
lpm2

Local pivotal method 2
lcubestratified

Stratified doubly balanced sampling with pooling of landing phases
lpm

Local pivotal method (sub-optimal)
probabilities

Inclusion probabilities
spm

Sequential pivotal method (also known as ordered pivotal sampling and Deville's systematic sampling)
vsb

Variance estimator for spatially balanced sample
rpm

Random pivotal method