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. (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>.

Version: 2.1.0
Depends: R (≥ 3.5.0), Rcpp (≥ 0.12.3), RcppZiggurat, RcppParallel
LinkingTo: Rcpp (≥ 0.12.3), RcppArmadillo, RcppParallel
Suggests: philentropy
Published: 2023-11-09
Author: Manos Papadakis [aut, cre, cph], Michail Tsagris [aut], Marios Dimitriadis [ctb], Stefanos Fafalios [aut], Ioannis Tsamardinos [ctb], Matteo Fasiolo [ctb], Giorgos Borboudakis [ctb], John Burkardt [ctb], Changliang Zou [ctb], Kleanthi Lakiotaki [ctb], Christina Chatzipantsiou [ctb]
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++17
Materials: README NEWS
CRAN checks: Rfast results

Documentation:

Reference manual: Rfast.pdf

Downloads:

Package source: Rfast_2.1.0.tar.gz
Windows binaries: r-devel: Rfast_2.1.0.zip, r-release: Rfast_2.1.0.zip, r-oldrel: Rfast_2.1.0.zip
macOS binaries: r-release (arm64): Rfast_2.1.0.tgz, r-oldrel (arm64): Rfast_2.1.0.tgz, r-release (x86_64): Rfast_2.1.0.tgz
Old sources: Rfast archive

Reverse dependencies:

Reverse depends: datanugget, dcortools, mrfse, octad, OPI, success
Reverse imports: ALDEx2, autoMFA, bivpois, bltm, cauchypca, Compositional, consICA, corrfuns, COTAN, CPC, cpss, CptNonPar, dcorVS, dCovTS, deepMOU, Directional, DrDimont, dyads, epilogi, fastFMM, fitlandr, frscore, fsn, glmtoolbox, gMOIP, gp, GPCERF, handwriter, imbalanceDatRel, IMIFA, iNETgrate, irtQ, jenga, LACE, mbr, metaGE, metaplus, methylscaper, MetSizeR, mfpp, micd, mixgb, mixpoissonreg, mlmts, mvcauchy, mvhtests, MXM, naive, nebula, nestedcv, NetFACS, NetSci, NGBVS, nlgm, NNS, NonlinearRDD, obfuscatoR, optimalFlow, pchc, phylter, PNAR, ppsbm, PRSPGx, psichomics, QUALYPSO, RAINBOWR, randomLCA, RankAggSIgFUR, rcccd, RDM, regda, Rfast2, Rogue, Rtropical, rvMF, segen, SelectBoost, sensobol, shinyExprPortal, simDAG, skedastic, smartsnp, SmoothWin, SMOTEWB, spaceNet, speaq, Spectrum, SteppedPower, tame, tetragon, tidyclust, TML, truh, TSCI, twl, VERSO, volcano3D, VoxR, WRI, wTO, zenith
Reverse linking to: sensobol
Reverse suggests: fastverse, FRESA.CAD, HiContacts, mlrCPO, MVNBayesian, sgsR, susieR, variancePartition

Linking:

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