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. Reference: Tsagris M, Papadakis M. (2018). Taking R to its limits: 70+ tips. PeerJ Preprints 6:e26605v1 <doi:10.7287/peerj.preprints.26605v1>.

Version: 1.9.2
Depends: R (≥ 3.5.0), Rcpp (≥ 0.12.3), RcppZiggurat
LinkingTo: Rcpp (≥ 0.12.3), RcppArmadillo
Published: 2018-11-09
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>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2.0)]
NeedsCompilation: yes
SystemRequirements: C++11
Materials: NEWS
CRAN checks: Rfast results

Downloads:

Reference manual: Rfast.pdf
Package source: Rfast_1.9.2.tar.gz
Windows binaries: r-devel: Rfast_1.9.2.zip, r-release: Rfast_1.9.2.zip, r-oldrel: Rfast_1.9.0.zip
OS X binaries: r-release: Rfast_1.9.2.tgz, r-oldrel: Rfast_1.9.0.tgz
Old sources: Rfast archive

Reverse dependencies:

Reverse imports: Compositional, Directional, IMIFA, MXM, ppsbm, spaceNet, twl
Reverse suggests: mlrCPO, MVNBayesian

Linking:

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