Fit Regularization Path for Generalized Additive Models (gamsel)
Using overlap grouped lasso penalties, gamsel selects whether a term in a gam is nonzero, linear, or a non-linear spline (up to a specified max df per variable). It fits the entire regularization path on a grid of values for the overall penalty lambda, both for gaussian and binomial families.

A Parallel-Voting Algorithm for many Classifiers (parallelML)
By sampling your data, running the provided classifier on these samples in parallel on your own machine and letting your models vote on a prediction, we return much faster predictions than the regular machine learning algorithm and possibly even more accurate predictions.

Joint Estimation in Linear Quantile Regression (qrjoint)
Joint estimation of quantile specific intercept and slope parameters in a linear regression setting.