Package: HPLB 1.0.0
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:
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://lorismichel.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/lorismichel/hplb/issues
classificationmachine-learningtwo-sample-test
Last updated from:03415dab65. Checks:7 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | NOTE | 115 | ||
| source / vignettes | OK | 164 | ||
| linux-release-x86_64 | NOTE | 113 | ||
| macos-release-arm64 | NOTE | 71 | ||
| macos-oldrel-arm64 | NOTE | 80 | ||
| windows-devel | NOTE | 71 | ||
| windows-release | NOTE | 63 | ||
| windows-oldrel | NOTE | 69 | ||
| wasm-release | OK | 94 |
Exports:empiricalBFHPLBHPLBmatrix
Dependencies:data.table
