Package: pdcor 1.0

Michail Tsagris

pdcor: Fast and Light-Weight Partial Distance Correlation

Fast and memory-less computation of the partial distance correlation for vectors and matrices. Permutation-based and asymptotic hypothesis testing for zero partial distance correlation are also performed. References include: Szekely G. J. and Rizzo M. L. (2014). "Partial distance correlation with methods for dissimilarities". The Annals Statistics, 42(6): 2382--2412. <doi:10.1214/14-AOS1255>. Shen C., Panda S. and Vogelstein J. T. (2022). "The Chi-Square Test of Distance Correlation". Journal of Computational and Graphical Statistics, 31(1): 254--262. <doi:10.1080/10618600.2021.1938585>. Szekely G. J. and Rizzo M. L. (2023). "The Energy of Data and Distance Correlation". Chapman and Hall/CRC. <ISBN:9781482242744>.

Authors:Michail Tsagris [aut, cre], Nikolaos Kontemeniotis [aut]

pdcor_1.0.tar.gz
pdcor_1.0.tar.gz(r-4.5-noble)pdcor_1.0.tar.gz(r-4.4-noble)
pdcor_1.0.tgz(r-4.4-emscripten)pdcor_1.0.tgz(r-4.3-emscripten)
pdcor.pdf |pdcor.html
pdcor/json (API)

# Install 'pdcor' in R:
install.packages('pdcor', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 2 exports 9 dependencies

Last updated 19 days agofrom:abc3ed7cd5. Checks:2 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 25 2025
R-4.5-linuxOKFeb 25 2025

Exports:pdcorpdcor.test

Dependencies:dcovRcppRcppArmadilloRcppGSLRcppParallelRcppZigguratRfastRfast2Rnanoflann