📊 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 🔮

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

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."

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 🥪

Defending Against Backdoor Attacks Using Robust Covariance Estimation

Robust Gaussian Process with Iterative Trimming

📦 🎲 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