Package: Rfast
Type: Package
Title: A Collection of Efficient and Extremely Fast R Functions
Version: 2.1.4
Date: 2025-01-13
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("ctb")), 
                person("Stefanos Fafalios", role = c("aut")), 
                person("Matteo Fasiolo", role = c("ctb")), 
                person("Morgan Jacob", role = c("ctb")), 
                person("Giorgos Borboudakis", role = c("ctb")), 
                person("John Burkardt", role = c("ctb")), 
                person("Changliang Zou", role = c("ctb")), 
                person("Kleanthi Lakiotaki", role = c("ctb")), 
                person("Christina Chatzipantsiou", role = c("ctb"))
        )
Maintainer: Manos Papadakis <rfastofficial@gmail.com>
Depends: R (>= 3.5.0), Rcpp (>= 0.12.3), RcppZiggurat, RcppParallel
LinkingTo: Rcpp (>= 0.12.3), RcppArmadillo, RcppParallel, RcppZiggurat
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>.
License: GPL (>= 2.0)
NeedsCompilation: yes
Packaged: 2025-01-14 18:24:14 UTC; epapadakis
Author: Manos Papadakis [aut, cre, cph],
  Michail Tsagris [aut],
  Marios Dimitriadis [ctb],
  Stefanos Fafalios [aut],
  Matteo Fasiolo [ctb],
  Morgan Jacob [ctb],
  Giorgos Borboudakis [ctb],
  John Burkardt [ctb],
  Changliang Zou [ctb],
  Kleanthi Lakiotaki [ctb],
  Christina Chatzipantsiou [ctb]
Repository: CRAN
Date/Publication: 2025-01-14 21:00:01 UTC
Built: R 4.3.3; aarch64-apple-darwin20; 2025-01-14 22:01:28 UTC; unix
Archs: Rfast.so.dSYM
