An enhancement of the Scott-Knott test (which clusters distributions
into statistically distinct ranks) that takes effect size into consideration
[Tantithamthavorn et al., (2017) <doi:10.1109/TSE.2016.2584050>].
ScottKnott, reshape2, effsize, stats, car

The Scott-Knott Effect Size Difference (ESD) test is a mean comparison approach that leverages a hierarchical clustering to partition the set of treatment means (e.g., means of variable importance scores, means of model performance) into statistically distinct groups with non-negligible difference [Tantithamthavorn et al., (2017) <doi:10.1109/TSE.2016.2584050>].

The Scott-Knott Effect Size Difference (ESD) test is a mean comparison approach that leverages a hierarchical clustering to partition the set of treatment means (e.g., means of variable importance scores, means of model performance) into statistically distinct groups with non-negligible difference [Tantithamthavorn et al., (2018) <doi:10.1109/TSE.2018.2794977>].

Given a word will produce that word's scrabble score. Unlike many naive implementations this package takes into consideration the distribution of letter in scrabble. So a word like 'zzz' will be scored '10' rather than '30'.
The name "Scrabble" is a trademark of Hasbro, Inc. in the United
States and Canada; elsewhere, it is a trademark of Mattel.

Screen and clean variable selection procedures
Routines for a collection of screen-and-clean type
variable selection procedures, including UPS and GS.

Raphael Bonnet [aut, cre], Marion Guernoté [ctb], Terry Gouin [ctb], Maxime Laurens [ctb], Thibault Meekel [ctb], Jean-François Peyron[aut,ths]
Displays the content of a R script into the 'Cytoscape' network-visualization app <https://cytoscape.org/>.
RCy3, formatR, dplyr, stringr, utils, grDevices

This package provides an implementation of the QuadTree
data structure. It uses this to implement fast k-Nearest
Neighbor and Rectangular range lookups in 2 dimenions. The
primary target is high performance interactive graphics.