📊 Computation and processing of models' parameters

Tidy data frames and expressions with statistical summaries 📜

Robust freeform surface modeling from user 2d sketches.

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.

Robust statistics in Python

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."

This Python library implements Trimmed Match for analyzing randomized paired geo experiments and also implements Trimmed Match Design for designing randomized paired geo experiments.

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

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

Direct and robust methods for outlier detection in linear regression

A small collection of lesser-known statistical measures

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

Robust estimations from distribution structures: Mean.

Robust estimations from distribution structures: Invariant moments.

Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted machine-learning

Delicatessen: the Python one-stop sandwich (variance) shop

Robust Gaussian Process with Iterative Trimming

Defending Against Backdoor Attacks Using Robust Covariance Estimation

📦 🎲 R/txshift: Efficient Estimation of the Causal Effects of Stochastic Interventions, with Corrections for Outcome-Dependent Sampling

Neural Networks package for R with a fast C++ back-end and special support for unsupervised anomaly detection using autoencoders