Computation of the Sparse Inverse Subset (sparseinv)
Creates a wrapper for the ‘SuiteSparse’ routines that execute the Takahashi equations. These equations compute the elements of the inverse of a sparse matrix at locations where the its Cholesky factor is non-zero. The resulting matrix is known as a sparse inverse subset. Some helper functions are also implemented. Support for spam matrices is currently limited and will be implemented in the future. See Rue and Martino (2007) <doi:10.1016/j.jspi.2006.07.016> and Zammit-Mangion and Rougier (2017) <arXiv:1707.00892> for the application of these equations to statistics.

Gaussian Process Modeling of Multi-Response Datasets (GPM)
Provides a general and efficient tool for fitting a response surface to datasets via Gaussian processes. The dataset can have multiple responses. The package is based on the work of Bostanabad, R., Kearney, T., Tao, S., Apley, D. W. & Chen, W. Leveraging the nugget parameter for efficient Gaussian process modeling (2017) <doi:10.1002/nme.5751>.

Fast Generators and Iterators for Permutations, Combinations and Partitions (arrangements)
Fast generators and iterators for permutations, combinations and partitions. The iterators allow users to generate arrangements in a memory efficient manner and the generated arrangements are in lexicographical (dictionary) order. Permutations and combinations can be drawn with/without replacement and support multisets. It has been demonstrated that ‘arrangements’ outperforms most of the existing packages of similar kind. Some benchmarks could be found at <https://…/benchmark.html>.

Calculating and Visualizing ROC Curves Across Multi-Class Classifications (multiROC)
Tools to solve real-world problems with multiple classes by computing the areas under ROC curve via micro-averaging and macro-averaging. The methodology is described in V. Van Asch (2013) <https://…/microaverage.pdf> and Pedregosa et al. (2011) <http://…/plot_roc.html>.

Palettes and graphics matching your RStudio editor (editheme)
The package editheme provides a collection of color palettes designed to match the different themes available in RStudio. It also includes functions to customize ‘base’ and ‘ggplot2’ graphs styles in order to harmonize the look of your favorite IDE.