Package: philentropy
Type: Package
Title: Similarity and Distance Quantification Between Probability
        Functions
Version: 0.10.0
Authors@R: c(person("Hajk-Georg", "Drost",
                role = c("aut", "cre"),
                email = "hajk-georg.drost@tuebingen.mpg.de",
                comment = c(ORCID = "0000-0002-1567-306X")),
             person("Jakub", "Nowosad",
                role = c("ctb"), 
                email = "nowosad.jakub@gmail.com", 
                comment = c(ORCID = "0000-0002-1057-3721")),
             person("Andrew", "Brown",
                role = c("ctb"),
                email = "brown.andrewg@gmail.com",
                comment = c(ORCID = "0000-0002-4565-533X"))
            )
Maintainer: Hajk-Georg Drost <hajk-georg.drost@tuebingen.mpg.de>
Description: 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.
Depends: R (>= 3.1.2)
Imports: Rcpp, RcppParallel, KernSmooth, poorman
License: GPL-2
LinkingTo: Rcpp, RcppParallel
URL: https://drostlab.github.io/philentropy/,
        https://github.com/drostlab/philentropy
Suggests: testthat, knitr, rmarkdown, microbenchmark
VignetteBuilder: knitr
BugReports: https://github.com/drostlab/philentropy/issues
RoxygenNote: 7.3.3
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-11-03 10:56:23 UTC; hdrost001
Author: Hajk-Georg Drost [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-1567-306X>),
  Jakub Nowosad [ctb] (ORCID: <https://orcid.org/0000-0002-1057-3721>),
  Andrew Brown [ctb] (ORCID: <https://orcid.org/0000-0002-4565-533X>)
Repository: CRAN
Date/Publication: 2025-11-03 11:30:02 UTC
