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>.
Version: |
2.0.6 |
Depends: |
R (≥ 3.5.0), Rcpp (≥ 0.12.3), RcppZiggurat |
LinkingTo: |
Rcpp (≥ 0.12.3), RcppArmadillo |
Published: |
2022-02-16 |
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++17 |
Materials: |
README NEWS |
CRAN checks: |
Rfast results |
Documentation:
Downloads:
Reverse dependencies:
Reverse imports: |
adass, ALDEx2, aRchi, autoMFA, bltm, Compositional, COTAN, cpss, dCovTS, deepMOU, Directional, distinct, diyar, dyads, frscore, fsn, glmtoolbox, gMOIP, IMIFA, LACE, mbr, metaplus, methylscaper, MetSizeR, mixpoissonreg, mlmts, molnet, MXM, nebula, NetFACS, NetSci, NGBVS, NNS, obfuscatoR, optimalFlow, ORdensity, pchc, ppsbm, psichomics, QUALYPSO, RAINBOWR, randomLCA, Rfast2, Rogue, Rtropical, SelectBoost, sensobol, smartsnp, SmoothWin, spaceNet, speaq, Spectrum, SteppedPower, truh, twl, VERSO, VoxR, WRI, wTO |
Reverse linking to: |
distinct, sensobol |
Reverse suggests: |
fastverse, mlrCPO, MVNBayesian, ProFound, susieR |
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=Rfast
to link to this page.