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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>.
Getting started
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Package details |
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| Author | Manos Papadakis [aut, cre, cph], Michail Tsagris [aut], Marios Dimitriadis [ctb], Stefanos Fafalios [aut], Ioannis Tsamardinos [ctb], Matteo Fasiolo [ctb], Giorgos Borboudakis [ctb], John Burkardt [ctb], Changliang Zou [ctb], Kleanthi Lakiotaki [ctb], Christina Chatzipantsiou [ctb] |
| Maintainer | Manos Papadakis <rfastofficial@gmail.com> |
| License | GPL (>= 2.0) |
| Version | 2.1.0 |
| URL | https://github.com/RfastOfficial/Rfast |
| Package repository | View on CRAN |
| Installation |
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