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: |
2.0.3 |
| Depends: |
R (≥ 3.5.0), Rcpp (≥ 0.12.3), RcppZiggurat |
| LinkingTo: |
Rcpp (≥ 0.12.3), RcppArmadillo |
| Published: |
2021-05-17 |
| 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 |
Documentation:
Downloads:
Reverse dependencies:
| Reverse depends: |
dcortools, glmtoolbox |
| Reverse imports: |
ALDEx2, autoMFA, bltm, Compositional, cpss, dCovTS, deepMOU, Directional, diyar, dyads, frscore, fsn, gMOIP, IMIFA, LACE, mbr, metaplus, methylscaper, MetSizeR, mixpoissonreg, molnet, MXM, NetSci, NGBVS, NNS, obfuscatoR, optimalFlow, ORdensity, pchc, ppsbm, psichomics, QUALYPSO, RAINBOWR, randomLCA, Rfast2, Rogue, SelectBoost, sensobol, smartsnp, SmoothWin, spaceNet, speaq, Spectrum, truh, twl, VERSO, VoxR, WRI |
| Reverse linking to: |
sensobol |
| Reverse suggests: |
fastverse, mlrCPO, MVNBayesian, ProFound |
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=Rfast
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