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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 |
| 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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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