Title: 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 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.

Imports: Rcpp (>= 0.11.1), SamplingBigData

Author: Anton Grafström, Jonathan Lisic, Wilmer Prentius
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)
<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)

Title: Statistical Inference and Sure Independence Screening via Ball
Author: XueQin Wang, WenLiang Pan, HePing Zhang, Hongtu Zhu, Yuan Tian, WeiNan Xiao, ChengFeng Liu, Jin Zhu
Description: Hypothesis tests and sure independence screening (SIS) procedure based on ball
statistics, including ball divergence, ball covariance, and ball correlation,
are developed to analyze complex data. The ball divergence and ball covariance based distribution-free
tests are implemented to examine equality of multivariate distributions and independence
between random vectors of arbitrary dimensions. Furthermore, a generic non-parametric SIS
procedure based on ball correlation and all of its variants are implemented to tackle the
challenge in the context of ultra high dimensional data.

statistics, including ball divergence, ball covariance, and ball correlation <doi:10.1080/01621459.2018.1462709>,