Package: Rfast
Type: Package
Title: A Collection of Efficient and Extremely Fast R Functions
Version: 2.1.5.2
Date: 2025-10-10
Authors@R: c(
                person("Manos Papadakis", email = "rfastofficial@gmail.com", role = c("aut", "cre", "cph")), 
                person("Michail Tsagris", role = c("aut")), 
                person("Marios Dimitriadis", role = c("aut")), 
                person("Stefanos Fafalios", role = c("aut")), 
                person("Matteo Fasiolo", role = c("aut")), 
                person("Morgan Jacob", role = c("ctb")), 
                person("Giorgos Borboudakis", role = c("aut")), 
                person("John Burkardt", role = c("aut")), 
                person("Changliang Zou", role = c("aut")) 
        )
Maintainer: Manos Papadakis <rfastofficial@gmail.com>
Depends: R (>= 3.5.0), Rcpp (>= 0.12.3), zigg, RcppParallel
LinkingTo: Rcpp (>= 0.12.3), RcppArmadillo, RcppParallel, zigg
Suggests: philentropy
SystemRequirements: C++17
BugReports: https://github.com/RfastOfficial/Rfast/issues
URL: https://github.com/RfastOfficial/Rfast
Description: A collection of fast (utility) functions for data
        analysis. Column and row wise means, medians, variances,
        minimums, maximums, many t, F and G-square tests, many
        regressions (normal, logistic, Poisson), are some of the many
        fast functions. References: a) Tsagris M., Papadakis M. (2018).
        Taking R to its limits: 70+ tips. PeerJ Preprints 6:e26605v1
        <doi:10.7287/peerj.preprints.26605v1>. b) Tsagris M. and
        Papadakis M. (2018). Forward regression in R: from the extreme
        slow to the extreme fast. Journal of Data Science, 16(4):
        771--780. <doi:10.6339/JDS.201810_16(4).00006>. c)
        Chatzipantsiou C., Dimitriadis M., Papadakis M. and Tsagris M.
        (2020). Extremely Efficient Permutation and Bootstrap
        Hypothesis Tests Using Hypothesis Tests Using R. Journal of
        Modern Applied Statistical Methods, 18(2), eP2898.
        <doi:10.48550/arXiv.1806.10947>. d) Tsagris M., Papadakis M.,
        Alenazi A. and Alzeley O. (2024). Computationally Efficient
        Outlier Detection for High-Dimensional Data Using the MDP
        Algorithm. Computation, 12(9): 185.
        <doi:10.3390/computation12090185>. e) Tsagris M. and Papadakis
        M. (2025). Fast and light-weight energy statistics using the R
        package Rfast. <doi:10.48550/arXiv.2501.02849>.
License: GPL (>= 2.0)
Config/pak/sysreqs: make
Repository: https://rfastofficial.r-universe.dev
Date/Publication: 2025-10-10 16:08:23 UTC
RemoteUrl: https://github.com/rfastofficial/rfast
RemoteRef: HEAD
RemoteSha: eaa0a9826b072799d63d46f13c8da4fa64ddbc64
NeedsCompilation: yes
Packaged: 2026-06-24 13:10:17 UTC; root
Author: Manos Papadakis [aut, cre, cph],
  Michail Tsagris [aut],
  Marios Dimitriadis [aut],
  Stefanos Fafalios [aut],
  Matteo Fasiolo [aut],
  Morgan Jacob [ctb],
  Giorgos Borboudakis [aut],
  John Burkardt [aut],
  Changliang Zou [aut]