rcpparmadillo

Armadillo: fast C++ library for linear algebra (matrix maths) & scientific computing

Rcpp integration for the Armadillo templated linear algebra library

High performance raster conversion for modern spatial data 🚀🌏▦

Explaining the output of machine learning models with more accurately estimated Shapley values

Converters between Armadillo matrices (C++) and Numpy arrays using Pybind11

Fast Unit Root Tests and OLS regression in C++ with wrappers for R and Python

BASiCS: Bayesian Analysis of Single-Cell Sequencing Data. This is an unstable experimental version. Please see http://bioconductor.org/packages/BASiCS/ for the official release version

Gaussian mixture models, k-means, mini-batch-kmeans and k-medoids clustering

Image processing Toolkit in R

An R package for space-time anomaly detection using scan statistics.

R package for Mixed-Frequency Bayesian VARs

Text Processing for Small or Big Data Files in R

Utilities to support lidar (airborne, mobile, terrestial) applications at the landscape-, forest-, and tree-scale to facilitate ecologcial data collection, manipulation, analysis, modelling, and visualization.

[On CRAN] Rcpp integration for the Ensmallen templated C++ mathematical optimization library

Now on CRAN, bigKRLS combines bigmemory & RcppArmadillo (C++) for speed into a new Kernel Regularized Least Squares algorithm. Slides:

A high-performance R 📦 for supervised and unsupervised machine learning evaluation metrics witten in 'C++'.

R Package: Regularized Principal Component Analysis for Spatial Data

An R package for predicting ploidal level from sequence data using site-based heterozygosity 

R enviroment - fast imputations 🐉