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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 |
DOI: | 10.32614/CRAN.package.Rfast |
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 |
Reference manual: | Rfast.pdf |
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, r-oldrel (x86_64): Rfast_2.1.0.tgz |
Old sources: | Rfast archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.