The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
LP nonparametric high-dimensional K-sample comparison method that includes (i) confirmatory test, (ii) exploratory analysis, and (iii) options to output a data-driven LP-transformed matrix for classification. The primary reference is Mukhopadhyay, S. and Wang, K. (2020, Biometrika); <doi:10.48550/arXiv.1810.01724>.
Version: | 2.1 |
Depends: | R (≥ 2.10), apcluster, igraph, mclust, LPGraph |
Published: | 2020-06-02 |
DOI: | 10.32614/CRAN.package.LPKsample |
Author: | Subhadeep Mukhopadhyay, Kaijun Wang |
Maintainer: | Kaijun Wang <kaijunwang.19 at gmail.com> |
License: | GPL-2 |
NeedsCompilation: | no |
CRAN checks: | LPKsample results |
Reference manual: | LPKsample.pdf |
Package source: | LPKsample_2.1.tar.gz |
Windows binaries: | r-devel: LPKsample_2.1.zip, r-release: LPKsample_2.1.zip, r-oldrel: LPKsample_2.1.zip |
macOS binaries: | r-release (arm64): LPKsample_2.1.tgz, r-oldrel (arm64): LPKsample_2.1.tgz, r-release (x86_64): LPKsample_2.1.tgz, r-oldrel (x86_64): LPKsample_2.1.tgz |
Old sources: | LPKsample archive |
Please use the canonical form https://CRAN.R-project.org/package=LPKsample to link to this page.
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.