📊 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

📦 Non-parametric Causal Effects 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."

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

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

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

Robust estimations from distribution structures: Mean.

Robust estimations from distribution structures: Invariant moments.

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

Defending Against Backdoor Attacks Using Robust Covariance Estimation

Robust Gaussian Process with Iterative Trimming

Companion package to the 2nd edition of the book "Robust Statistics: Theory and Methods"

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