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 &lt;<a href="https://doi.org/10.7287%2Fpeerj.preprints.26605v1" target="_top">doi:10.7287/peerj.preprints.26605v1</a>&gt;. 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&ndash;780. &lt;<a href="https://doi.org/10.6339%2FJDS.201810_16%284%29.00006" target="_top">doi:10.6339/JDS.201810_16(4).00006</a>&gt;. 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. &lt;<a href="https://doi.org/10.48550%2FarXiv.1806.10947" target="_top">doi:10.48550/arXiv.1806.10947</a>&gt;. 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. &lt;<a href="https://doi.org/10.3390%2Fcomputation12090185" target="_top">doi:10.3390/computation12090185</a>&gt;. e) Tsagris M. and Papadakis M. (2025). Fast and light-weight energy statistics using the R package Rfast. &lt;<a href="https://doi.org/10.48550%2FarXiv.2501.02849" target="_top">doi:10.48550/arXiv.2501.02849</a>&gt;.