
The R Project for Statistical Computing
Oct 31, 2025 · To download R, please choose your preferred CRAN mirror. If you have questions about R like how to download and install the software, or what the license terms are, please …
The Comprehensive R Archive Network
Oct 31, 2025 · R is ‘GNU S’, a freely available language and environment for statistical computing and graphics which provides a wide variety of statistical and graphical techniques: linear and …
R-4.5.2 for Windows - The Comprehensive R Archive Network
Please see the R FAQ for general information about R and the R Windows FAQ for Windows-specific information.
Help for package ggpubr - The Comprehensive R Archive Network
The 'ggplot2' package is excellent and flexible for elegant data visualization in R. However the default generated plots requires some formatting before we can send them for publication.
Help for package riskRegression - The Comprehensive R Archive …
R Journal, 9 (2):440–460, 2017. J Benichou and Mitchell H Gail. Estimates of absolute cause-specific risk in cohort studies. Biometrics, pages 813–826, 1990. T.A. Gerds, T.H. Scheike, …
The Comprehensive R Archive Network
We would like to show you a description here but the site won’t allow us.
Help for package ape - The Comprehensive R Archive Network
This is much faster and is now the default. Since version 5.2 of ape, ace can take state uncertainty for discrete characters into account: this should be coded with R's NA only. More …
Help for package xgboost - The Comprehensive R Archive Network
Note that XGBoost models in R starting from version 2.1.0 and onwards, and XGBoost models before version 2.1.0; have a very different R object structure and are incompatible with each …
Help for package survival - The Comprehensive R Archive Network
(There is no central index of R methods, so there may well be useful candidates that the author has missed.) The arguments and results from these are mostly as expected, with the following …
Help for package mgcv - The Comprehensive R Archive Network
For simplicity let r and off denote a single column and element corresponding to each other: then r [off [j]: (off [j+1]-1)] contains the rows of the full matrix corresponding to row j of the stored …