Package: philentropy 0.9.0.9000

Hajk-Georg Drost

philentropy: Similarity and Distance Quantification Between Probability Functions

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.

Authors:Hajk-Georg Drost [aut, cre], Jakub Nowosad [ctb]

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philentropy.pdf |philentropy.html✨
philentropy/json (API)
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Bug tracker:https://github.com/drostlab/philentropy/issues

On CRAN:

distance-measuresdistance-quantificationinformation-theoryjensen-shannon-divergenceparametric-distributionssimilarity-measuresstatistics

60 exports 131 stars 5.61 score 3 dependencies 23 dependents 6 mentions 370 scripts 2.8k downloads

Last updated 7 months agofrom:da2753760c. Checks:OK: 9. Indexed: yes.

Exports:additive_symm_chi_sqavgbhattacharyyabinned.kernel.estcanberraCEchebyshevclark_sqcosine_distczekanowskidice_distdist_many_manydist_one_manydist_one_onedist.diversitydistancedivergence_sqestimate.probabilityeuclideanfidelitygetDistMethodsgJSDgowerHharmonic_mean_disthellingerinner_productintersection_distjaccardJEjeffreysjensen_differencejensen_shannonJSDk_divergenceKLkulczynski_dkullback_leibler_distancekumar_hassebrookkumar_johnsonlin.corlorentzianmanhattanmatusitaMIminkowskimotykaneyman_chi_sqpearson_chi_sqprob_symm_chi_sqruzickasoergelsorensensquared_chi_sqsquared_chordsquared_euclideantanejatanimototopsoewave_hedges

Dependencies:KernSmoothpoormanRcpp