Computes 46 optimized distance and similarity measures for comparing probability functions (Drost (2018) <doi:10.21105/joss.00765>). These comparisons between probability functions have their foundations in a broad range of scientific disciplines from mathematics to ecology. The aim of this package is to provide a core framework for clustering, classification, statistical inference, goodness-of-fit, non-parametric statistics, information theory, and machine learning tasks that are based on comparing univariate or multivariate probability functions.
Version: | 0.4.0 |
Depends: | R (≥ 3.1.2) |
Imports: | Rcpp, dplyr, KernSmooth |
LinkingTo: | Rcpp |
Suggests: | testthat, knitr |
Published: | 2020-01-10 |
Author: | Hajk-Georg Drost [aut, cre] |
Maintainer: | Hajk-Georg Drost <hajk-georg.drost at tuebingen.mpg.de> |
BugReports: | https://github.com/HajkD/philentropy/issues |
License: | GPL-2 |
URL: | https://github.com/HajkD/philentropy |
NeedsCompilation: | yes |
Citation: | philentropy citation info |
Materials: | README NEWS |
CRAN checks: | philentropy results |
Reference manual: | philentropy.pdf |
Vignettes: |
Distances Information Theory Introduction |
Package source: | philentropy_0.4.0.tar.gz |
Windows binaries: | r-devel: philentropy_0.4.0.zip, r-release: philentropy_0.4.0.zip, r-oldrel: philentropy_0.4.0.zip |
macOS binaries: | r-release: philentropy_0.4.0.tgz, r-oldrel: philentropy_0.4.0.tgz |
Old sources: | philentropy archive |
Reverse imports: | biomartr |
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