Multi-Data-Driven Sparse PLS Robust to Missing Samples (ddsPLS)
Allows to build Multi-Data-Driven Sparse PLS models. Multi-blocks with high-dimensional settings are particularly sensible to this.

Tidying Methods for Mixed Models (broom.mixed)
Convert fitted objects from various R mixed-model packages into tidy data frames along the lines of the ‘broom’ package. The package provides three S3 …

A Collection of Utility Functions (ojUtils)
This is a collection of utility functions. Currently, it provides alternatives to base ifelse() and base combn() functions utilizing ‘Rcpp’, and provid …