Boosting models for fitting generalized additive models for location, shape and scale (GAMLSS) to potentially high dimensional data. The current relase version can be found on CRAN (https://cran.r-project.org/package=gamboostLSS).
R-package: Bayesian variable selection, model choice, and regularized estimation for (spatial) generalized additive mixed regression models via stochastic search variable selection with spike-and-slab priors.
Additional functions for the SuperLearner R package. A collection of mostly wrapper functions that might be useful for the SuperLearner but are not general enough to be placed in the main package.
This work is supported by the National Institutes of Health's National Center for Advancing Translational Sciences, Grant Number U24TR002306. This work is
solely the responsibility of the creators and does not necessarily represent the official views of the National Institutes of Health.
