Categorical Scatter (Violin Point) Plots (ggbeeswarm)
Provides two methods of plotting categorical scatter plots such that the arrangement of points within a category reflects the density of data at that region, and avoids over-plotting.
Reimplementations of Functions Introduced Since R-3.0.0 (backports)
Provides implementations of functions which have been introduced in R since version 3.0.0. The backports are conditionally exported which results in R resolving the function names to the version shipped with R (if available) and uses the implemented backports as fallback. This way package developers can make use of the new functions without without worrying about the minimum required R version.
Customized Training for Lasso and Elastic-Net Regularized Generalized Linear Models (customizedTraining)
Customized training is a simple technique for transductive learning, when the test covariates are known at the time of training. The method identifies a subset of the training set to serve as the training set for each of a few identified subsets in the training set. This package implements customized training for the glmnet() and cv.glmnet() functions.