:bar_chart: 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.

:package: Non-parametric Causal Effects Based on Modified Treatment Policies :crystal_ball:

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

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."

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

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

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

Robust Gaussian Process with Iterative Trimming

Defending Against Backdoor Attacks Using Robust Covariance Estimation

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

Robust estimations from distribution structures: Mean.

Robust estimations from distribution structures: Invariant moments.

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

This is an open source library that can be used to autofocus telescopes. It uses a novel algorithm based on robust statistics. For a preprint, see https://arxiv.org/abs/2201.12466 .The library is currently used in Astro Photography tool (APT) https://www.astrophotography.app/

Interpreter in Fortran that can handle scalars and 1D arrays, with access to intrinsics and statistical functions and plotting with gnuplot

Trimmed L-moments and L-comoments for robust statistics.

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

Doubly-Robust and Efficient Estimators for Survival and Ordinal Outcomes in RCTs Without Proportional Hazards or Odds Assumptions :pill:

A retail analytics capstone that converts transactions into a calendar intelligence system. It quantifies day-of-week and monthly seasonality, builds a baseline expected revenue model, detects event-like spike days using robust residual z-scores, and explains spikes via transactions, units, AOV, and category mix, with a Streamlit dashboard+exports.

Robust transfer function analysis code for magnetotellurics

robust optimization

Robust particle filter based on dynamic averaging of multiple noise models

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