Generic implementation of the ‘RStudio’ connections contract (rscontract)
Provides a generic implementation of the ‘RStudio’ connection contract to make it easier for database connections, and other type of connections, opened via R packages integrate with the connections pane inside the ‘RStudio’ interactive development environment (IDE).

Post Double Selection with Double Machine Learning (postDoubleR)
Implements post double selection using double machine learning, see Chernozhukov, Chetverikov, Demirer, Duflo, Hansen, Newey, Robins (2017) <doi:10.1111/ectj.12097>, for various models, using several back ends. Allows the user flexibility in specifying their own methods for estimation.

Recursive Partitioning for Longitudinal Profiles Using Baseline Covariates (LongCART)
Constructs longitudinal tree (i.e., regression tree with heterogeneous longitudinal profile) for continuous longitudinal outcome using baseline covariates as partitioning variables according to the ‘LongCART’ algorithm as described in Kundu and Harezlak (2019) <doi:10.1080/24709360.2018.1557797>.

Robust Regression with Asymmetric Heavy-Tail Noise Distributions (rrat)
Implementation of Robust Regression tailored to deal with Asymmetric noise Distribution, which was originally proposed by Takeuchi & Bengio & Kanamori (2002) <doi:10.1162/08997660260293300>. In addition, this implementation is extended as introducing potential feature regularization by LASSO etc.

Estimate the Burden of Healthcare-Associated Infections (BHAI)
Provides an approach which is based on the methodology of the Burden of Communicable Diseases in Europe (BCoDE) and can be used for large and small samples such as individual countries. The Burden of Healthcare-Associated Infections (BHAI) is estimated in disability-adjusted life years, number of infections as well as number of deaths per year. Results can be visualized with various plotting functions and exported into tables.