Package: HPLB 1.0.0

Loris Michel

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) <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.

Authors:Loris Michel, Jeffrey Naef

HPLB_1.0.0.tar.gz
HPLB_1.0.0.zip(r-4.7)HPLB_1.0.0.zip(r-4.6)HPLB_1.0.0.zip(r-4.5)
HPLB_1.0.0.tgz(r-4.6-any)HPLB_1.0.0.tgz(r-4.5-any)
HPLB_1.0.0.tar.gz(r-4.7-any)HPLB_1.0.0.tar.gz(r-4.6-any)
HPLB_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
HPLB/json (API)

# Install 'HPLB' in R:
install.packages('HPLB', repos = c('https://cranhaven.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/cranhaven/cranhaven.r-universe.dev/issues

On CRAN:

Conda:

archivedpackagesr-universe

2.40 score 5 stars 6 scripts 199 downloads 3 exports 1 dependencies

Last updated from:6fcc89d99d (on package/HPLB). Checks:7 NOTE, 2 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE112
source / vignettesOK166
linux-release-x86_64NOTE108
macos-release-arm64NOTE105
macos-oldrel-arm64NOTE85
windows-develNOTE89
windows-releaseNOTE97
windows-oldrelNOTE128
wasm-releaseOK95

Exports:empiricalBFHPLBHPLBmatrix

Dependencies:data.table