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
<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>. d) Tsagris M., Papadakis M.,
Alenazi A. and Alzeley O. (2024). Computationally Efficient
Outlier Detection for High-Dimensional Data Using the MDP
Algorithm. Computation, 12(9): 185.
<doi:10.3390/computation12090185>. e) Tsagris M. and Papadakis
M. (2025). Fast and light-weight energy statistics using the R
package Rfast. <doi:10.48550/arXiv.2501.02849>.
