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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>. 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>.

Version:	2.1.5.2
Depends:	R (≥ 3.5.0),Rcpp (≥ 0.12.3),zigg,RcppParallel
LinkingTo:	Rcpp (≥ 0.12.3),RcppArmadillo,RcppParallel,zigg
Suggests:	philentropy
Published:	2025-10-10
DOI:	10.32614/CRAN.package.Rfast
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]
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.html ,Rfast.pdf

Downloads:

Package source:	Rfast_2.1.5.2.tar.gz
Windows binaries:	r-devel:Rfast_2.1.5.2.zip, r-release:Rfast_2.1.5.2.zip, r-oldrel:Rfast_2.1.5.2.zip
macOS binaries:	r-release (arm64):Rfast_2.1.5.2.tgz, r-oldrel (arm64):Rfast_2.1.5.2.tgz, r-release (x86_64):Rfast_2.1.5.2.tgz, r-oldrel (x86_64):Rfast_2.1.5.2.tgz
Old sources:	Rfast archive

Reverse dependencies:

Reverse depends:	CICA,datanugget,dcortools,mrfse,octad,success
Reverse imports:	ActiveLearning4SPM,adass,ALDEx2,bivpois,bltm,BMIselect,CatsCradle,cauchypca,CCd,clusterMI,colocboost,cols,Compositional,CompositionalClust,CompositionalHDDA,CompositionalML,CompositionalRF,CompositionalSR,consICA,consrq,corrfuns,COTAN,CPC,cpmr,cpss,CptNonPar,Cronbach,CrossExpression,crumblr,dcorVS,dCovTS,decorrelate,deepMOU,DER,Directional,DrDimont,dyads,epilogi,estats,fastbioclim,fastFMM,fChange,fitlandr,frscore,fsn,funcharts,fuzzylink,glmtoolbox,gMOIP,gomp,gp,GPCERF,handwriter,highd2means,imbalanceDatRel,IMIFA,irtQ,jenga,LACE,LePage,lmap,manydist,MAPFX,mbr,metaGE,metaplus,methylscaper,MetSizeR,mfpp,micd,mixgb,mixpoissonreg,MLE,mlmts,MN,mvcauchy,mvcor,mvhtests,naive,nda,nebula,NeEDS4BigData,nestedcv,NetSci,NGBVS,nlgm,NNS,obfuscatoR,OPI,optimalFlow,pchc,pdcor,PhyloProfile,phylotypr,phylter,PNAR,ppks,ppsbm,psichomics,QUALYPSO,RAINBOWR,randomLCA,RankAggSIgFUR,rcccd,rdcor,RDM,regda,Rfast2,robqda,Rogue,Rtropical,rvMF,scoredec,scpropreg,sdlrm,segen,SelectBoost,sensobol,shinyExprPortal,simDAG,skedastic,smartsnp,smoppix,SMOTEWB,spaceNet,sparseCov,speaq,Spectrum,SteppedPower,tame,tetragon,thamesmix,TML,truh,TSCI,tvcure,twl,univariateML,VERSO,VoxR,WRI,wTO,xCell2,zenith
Reverse linking to:	Rfast2,sensobol
Reverse suggests:	binomCI,CimpleG,corbouli,fertilmodel,FRESA.CAD,HiContacts,irls,lightAUC,mlrCPO,MVNBayesian,plattice,poobly,sgsR,susieR,TPXG,variancePartition

Linking:

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