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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 . 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. .

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Reference manual

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install.packages("Rfast")

2.0.1 by Manos Papadakis, 7 months ago

https://github.com/RfastOfficial/Rfast

Report a bug at https://github.com/RfastOfficial/Rfast/issues

Browse source code at https://github.com/cran/Rfast

Authors: Manos Papadakis , Michail Tsagris , Marios Dimitriadis , Stefanos Fafalios , Ioannis Tsamardinos , Matteo Fasiolo , Giorgos Borboudakis , John Burkardt , Changliang Zou , Kleanthi Lakiotaki and Christina Chatzipantsiou.

Documentation:   PDF Manual  

GPL (>= 2.0) license

Depends on Rcpp, RcppZiggurat

Linking to Rcpp, RcppArmadillo

System requirements: C++11

Imported by Compositional, DUBStepR, Directional, IMIFA, MXM, NGBVS, NNS, NetSci, ORdensity, QUALYPSO, RAINBOWR, Rfast2, SelectBoost, SmoothWin, Spectrum, VoxR, WRI, bltm, cpss, deepMOU, diyar, dyads, fsn, gMOIP, gama, mbr, mixpoissonreg, obfuscatoR, pchc, ppsbm, randomLCA, sensobol, smartsnp, spaceNet, speaq, twl.

Depended on by glmtoolbox.

Suggested by MVNBayesian, ProFound, mlrCPO.

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