Enhancing `ggplot2` plots with statistical analysis 📊🎨📣

Robust freeform surface modeling from user 2d sketches.

Robustats is a Python library for high-performance computation of robust statistical estimators.

📦 Non-parametric Causal Effects of Feasible Interventions Based on Modified Treatment Policies 🔮

Python PyTorch (GPU) and NumPy (CPU)-based port of Févotte and Dobigeon's robust-NMF algorithm appearing in "Nonlinear hyperspectral unmixing with robust nonnegative matrix factorization."

Flexible Statistics and Data Analysis (FSDA) extends MATLAB for a robust analysis of data sets affected by different sources of heterogeneity. It is open source software licensed under the European Union Public Licence (EUPL). FSDA is a joint project by the University of Parma and the Joint Research Centre of the European Commission.

Solve many kinds of least-squares and matrix-recovery problems

📦 🎲 R/txshift: Efficient Estimation of the Causal Effects of Stochastic Interventions, with Two-Phase Sampling Corrections

Artificial Neural Networks package for R

Robust statistics in Python

Robust Chauvenet Rejection: RCR is advanced, but easy to use, outlier rejection.

This project contains the code for the paper accepted at NeurIPS 2020 - Robust Meta-learning for Mixed Linear Regression with Small Batches.

R Package implementing the Penalized Elastic Net S- and MM-Estimator for Linear Regression

Various numerical routines in C and C++

MATLAB pipeline for easy-to-program automated pre-processing of electroencephalogram (EEG) data using independent component analysis and statistically-robust detection of artifacts.

An Econometric Analysis of North Carolina Crime Data from 1987