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HPLB: High-Probability Lower Bounds for the Total Variance Distance

An implementation of high-probability lower bounds for the total variance distance as introduced in Michel & Naef & Meinshausen (2020) <doi:10.48550/arXiv.2005.06006>. An estimated lower-bound (with high-probability) on the total variation distance between two probability distributions from which samples are observed can be obtained with the function HPLB.

Version:	1.0.0
Depends:	data.table, stats, graphics
Suggests:	testthat,fields,ranger,distrEx
Published:	2020-06-09
DOI:	10.32614/CRAN.package.HPLB
Author:	Loris Michel, Jeffrey Naef
Maintainer:	Loris Michel <michel at stat.math.ethz.ch>
License:	GPL-3
NeedsCompilation:	no
Materials:	README
CRAN checks:	HPLB results

Documentation:

Reference manual:

HPLB.html ,HPLB.pdf

Downloads:

Package source:	HPLB_1.0.0.tar.gz
Windows binaries:	r-devel:HPLB_1.0.0.zip, r-release:HPLB_1.0.0.zip, r-oldrel:HPLB_1.0.0.zip
macOS binaries:	r-release (arm64):HPLB_1.0.0.tgz, r-oldrel (arm64):HPLB_1.0.0.tgz, r-release (x86_64):HPLB_1.0.0.tgz, r-oldrel (x86_64):HPLB_1.0.0.tgz

Linking:

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