truh: Two-Sample Nonparametric Testing Under Heterogeneity

Implements the TRUH test statistic for two sample testing under heterogeneity. TRUH incorporates the underlying heterogeneity and imbalance in the samples, and provides a conservative test for the composite null hypothesis that the two samples arise from the same mixture distribution but may differ with respect to the mixing weights. See Trambak Banerjee, Bhaswar B. Bhattacharya, Gourab Mukherjee Ann. Appl. Stat. 14(4): 1777-1805 (December 2020). <doi:10.1214/20-AOAS1362> for more details.

Version:	1.0.0
Imports:	Rfast, cluster, doParallel, foreach, iterators, fpc, parallel
Suggests:	rmarkdown, knitr
Published:	2021-09-08
Author:	Nathan Smith [aut, cre], Trambak Banerjee [aut], Bhaswar Bhattacharya [aut], Gourab Mukherjee [aut]
Maintainer:	Nathan Smith <nathan_smith_99 at ku.edu>
License:	GPL (≥ 3)
URL:	https://github.com/natesmith07/truh
NeedsCompilation:	no
Materials:	README NEWS
CRAN checks:	truh results

Documentation:

Reference manual:	truh.pdf
Vignettes:	demo-asus

Downloads:

Package source:	truh_1.0.0.tar.gz
Windows binaries:	r-devel: truh_1.0.0.zip, r-release: truh_1.0.0.zip, r-oldrel: truh_1.0.0.zip
macOS binaries:	r-release (arm64): truh_1.0.0.tgz, r-oldrel (arm64): truh_1.0.0.tgz, r-release (x86_64): truh_1.0.0.tgz, r-oldrel (x86_64): truh_1.0.0.tgz

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