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: |
1.9.3 |
| Depends: |
R (≥ 3.5.0), Rcpp (≥ 0.12.3), RcppZiggurat |
| LinkingTo: |
Rcpp (≥ 0.12.3), RcppArmadillo |
| Published: |
2019-03-04 |
| 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:
Reverse dependencies:
| Reverse imports: |
Compositional, Directional, gama, IMIFA, MXM, ppsbm, Rfast2, spaceNet, speaq, Spectrum, twl |
| Reverse suggests: |
mlrCPO, MVNBayesian |
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