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


Reference manual: HPLB.pdf


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


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