Rfast2: A Collection of Efficient and Extremely Fast R Functions II

Canonical link: https://rscholar.com/pkg/Rfast2

Manos Papadakis • Michail Tsagris • Stefanos Fafalios • Marios Dimitriadis • Manos Lasithiotakis. • View description and downloads View dependencies GitHub project

2019 Published

0.1.5.2 Version

0 Citations

5 Authors

Referenced by ⇅	Year
CompositionalML: Machine Learning with Compositional Data (Version 1.0)	2024
Compositional: Compositional Data Analysis (Version 7.1)	2016
Directional: A Collection of Functions for Directional Data Analysis (Version 6.8)	2015
MLE: Maximum Likelihood Estimation of Various Univariate and Multivariate Distributions (Version 1.2)	2024
MXM: Feature Selection (Including Multiple Solutions) and Bayesian Networks (Version 1.5.5)	2014
PNAR: Poisson Network Autoregressive Models (Version 1.7)	2022
Seurat: Tools for Single Cell Genomics (Version 5.1.0)	2017
cauchypca: Robust Principal Component Analysis Using the Cauchy Distribution (Version 1.3)	2022
choosepc: Choose the Number of Principal Components via Recistruction Error (Version 1.0)	2023
cols: Constrained Ordinary Least Squares (Version 1.2)	2023
crwbmetareg: Cluster Robust Wild Bootstrap Meta Regression (Version 1.0)	2023
dCovTS: Distance Covariance and Correlation for Time Series Analysis (Version 1.4)	2016
geppe: Generalised Exponential Poisson and Poisson Exponential Distributions (Version 1.0)	2024
mvcauchy: Multivariate Cauchy Distribution (Version 1.1)	2024
mvhtests: Multivariate Hypothesis Tests (Version 1.0)	2023
nlgm: Non Linear Growth Models (Version 1.0)	2022
pchc: Bayesian Network Learning with the PCHC and Related Algorithms (Version 1.2)	2020
regda: Regularised Discriminant Analysis (Version 1.0)	2023

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