Classification Permutation Test (cpt)
Non-parametric test for equality of multivariate distributions. Trains a classifier to classify (multivariate) observations as coming from one of two distributions. If the classifier is able to classify the observations better than would be expected by chance (using permutation inference), then the null hypothesis that the two distributions are equal is rejected.

Beta Calibration (betacal)
Fit beta calibration models and obtain calibrated probabilities from them.

Cross Platform Desktop Notifications (notifier)
Send desktop notifications from R, on macOS, Windows and Linux.

Group Sparse Optimization (GSparO)
Approaches a group sparse solution of an underdetermined linear system. It implements the proximal gradient algorithm to solve a lower regularization model of group sparse learning. For details, please refer to the paper ‘Y. Hu, C. Li, K. Meng, J. Qin and X. Yang. Group sparse optimization via l_{p,q} regularization. Journal of Machine Learning Research, to appear, 2017’.

Additional Themes, Theme Components and Utilities for ‘ggplot2’ (hrbrthemes)
A compilation of extra ‘ggplot2’ themes, scales and utilities, including a spell check function plot label fields and an overall emphasis on typography. A copy of the ‘Google’ font ‘Roboto Condensed’ <https://…/> is also included to support one of the typography-oriented themes.