Rfast2

A Collection of Efficient and Extremely Fast R Functions II

A collection of fast statistical and utility functions for data analysis. Functions for regression, maximum likelihood, column-wise statistics and many more have been included. C++ has been utilized to speed up the functions. References: Tsagris M., Papadakis M. (2018). Taking R to its limits: 70+ tips. PeerJ Preprints 6:e26605v1 .

Rfast2

CRAN_Status_Badge metacran downloads metacran downloads CRAN_latest_release_date

1. About

A collection of Rfast2 functions for data analysis.

Donate

paypal

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.
install.packages("Rfast2")

0.1.5.6 by Manos Papadakis, 8 months ago

https://github.com/RfastOfficial/Rfast2

Report a bug at https://github.com/RfastOfficial/Rfast2/issues

Browse source code at https://github.com/cran/Rfast2

Authors: Manos Papadakis [aut, cre, cph] , Michail Tsagris [aut] , Stefanos Fafalios [aut] , Marios Dimitriadis [aut] , Manos Lasithiotakis [aut] , Nikolaos Kontemeniotis [ctb]

Documentation:   PDF Manual  

GPL (>= 2.0) license

Imports Rfast, Rnanoflann

Depends on Rcpp, RcppParallel

Linking to Rcpp, RcppArmadillo, RcppParallel, zigg, Rfast, BH

System requirements: C++17

Imported by Compositional, CompositionalClust, CompositionalML, CompositionalMPT, DER, Directional, MLE, MXM, PNAR, TPXG, choosepc, clusterindices, cols, corrfuns, crwbmetareg, dCovTS, estats, kernreg, mvcauchy, mvhtests, nlgm, outliersHD, pchc, regda, robqda, scpropreg.

Suggested by BBC, CCd, CompositionalHDDA, CompositionalNAimp, CompositionalRF, CompositionalSR, CompositionalZADR, Compositionalasmr, Compositionalcln, Compositionalscsmr, Compositionalzerocens, Cronbach, LePage, Mobius, Seurat, binomCI, bivpois, cauchypca, cellGeometry, circda, consrq, corbouli, dcorVS, epilogi, fertilmodel, foldedt, fsn, geppe, gomp, irls, lightAUC, mvcor, mziln, nnmf, pdcor, plattice, poobly, ppks, rdcor, scoredec, sphereclust, statim.

See at CRAN

R links

R homepage

Download R

Mailing lists

R documentation

R manuals

R FAQs

The R Journal

CRAN links

CRAN homepage

CRAN repository policy

Submit a package

METACRAN stuff

About METACRAN

At github

Report a bug