Rfast: A Collection of Efficient and Extremely Fast R Functions

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. (2018). Extremely efficient permutation and bootstrap hypothesis tests using R. Journal of Modern applied Statistical Methods (To appear). <arXiv:1806.10947>.

Version: 1.9.7
Depends: R (≥ 3.5.0), Rcpp (≥ 0.12.3), RcppZiggurat
LinkingTo: Rcpp (≥ 0.12.3), RcppArmadillo
Published: 2019-11-24
Author: Manos Papadakis, Michail Tsagris, Marios Dimitriadis, Stefanos Fafalios, Ioannis Tsamardinos, Matteo Fasiolo, Giorgos Borboudakis, John Burkardt, Changliang Zou, Kleanthi Lakiotaki and Christina Chatzipantsiou.
Maintainer: Manos Papadakis <rfastofficial at gmail.com>
BugReports: https://github.com/RfastOfficial/Rfast/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2.0)]
URL: https://github.com/RfastOfficial/Rfast
NeedsCompilation: yes
SystemRequirements: C++11
Materials: README NEWS
CRAN checks: Rfast results

Downloads:

Reference manual: Rfast.pdf
Package source: Rfast_1.9.7.tar.gz
Windows binaries: r-devel: Rfast_1.9.7.zip, r-devel-gcc8: Rfast_1.9.7.zip, r-release: Rfast_1.9.7.zip, r-oldrel: Rfast_1.9.7.zip
OS X binaries: r-release: Rfast_1.9.7.tgz, r-oldrel: Rfast_1.9.7.tgz
Old sources: Rfast archive

Reverse dependencies:

Reverse imports: bltm, Compositional, Directional, gama, IMIFA, MXM, NGBVS, obfuscatoR, ppsbm, QUALYPSO, Rfast2, SelectBoost, SmoothWin, spaceNet, speaq, Spectrum, TestDimorph, twl
Reverse suggests: mlrCPO, MVNBayesian

Linking:

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