Package: pdcor
Type: Package
Title: Fast and Light-Weight Partial Distance Correlation
Version: 1.2
Date: 2025-07-03
Authors@R: c( person("Michail", "Tsagris", role = c("aut", "cre"), email = "mtsagris@uoc.gr"), 
              person( "Nikolaos", "Kontemeniotis", role = "aut", email = "kontemeniotisn@gmail.com" ) )
Author: Michail Tsagris [aut, cre],
  Nikolaos Kontemeniotis [aut]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Depends: R (>= 4.0)
Imports: dcov, Rfast, Rfast2, stats
Description: 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>. Kontemeniotis N., Vargiakakis R. and Tsagris M. (2025). On independence testing using the (partial) distance correlation. <doi:10.48550/arXiv.2506.15659>.  
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2025-07-01 21:15:31 UTC; mtsag
Repository: CRAN
Date/Publication: 2025-07-02 08:50:02 UTC
Built: R 4.3.3; ; 2025-07-04 04:41:41 UTC; unix
