Advanced and Fast Data Transformation in R
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Updated
Nov 17, 2024 - C
Advanced and Fast Data Transformation in R
R interface to Redis using the hiredis library
Recursive Partitioning and Regression Trees
BAS R package for Bayesian Model Averaging and Variable Selection
Fast computation of some matrices useful in statistics
An R package for calling the Epanet software for simulation of piping networks.
Regularization Paths for Huber Loss Regression and Quantile Regression Penalized by Lasso or Elastic-Net
Port of the Triangle Two-Dimensional Quality Mesh Generator and Delaunay Triangulator to R
Solution Paths of Sparse Linear Support Vector Machine with Lasso or ELastic-Net Regularization
`chroot`, `mount --bind`, and `binfmt_misc` without privileges / setup for Linux distros, very useful for Termux on Android
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