robust-regression

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.

clustering classification multivariate-analysis correspondence-analysis forward-search mahalanobis-distance m-estimation visualization-tools robust-regression robust-estimation robust-statistics box-cox robust-clustering s-estimation mm-estimation tclust

UpdatedNov 5, 2025
MATLAB

JuliaAI /MLJLinearModels.jl

Star83

Generalized Linear Regressions Models (penalized regressions, robust regressions, ...)

julia-language logistic-regression ridge-regression regression-models sparse-regression elastic-net lasso-regression multinomial-regression regressions robust-regression mlj

UpdatedMay 31, 2025
Julia

getzze /RobustModels.jl

Star38

A Julia package for robust regressions using M-estimators and quantile regressions

julia-language outlier-detection ridge-regression quantile-regression expectile-regression robust-regression outlier-rejection m-estimator mm-estimator s-estimator tau-estimator mquantile-regression

UpdatedSep 26, 2024
Julia

msalibian /RobStatTM

Star20

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

statistics robust robustness robust-regression robust-estimation robust-statistics

UpdatedMar 13, 2025
R

gsubramani /robust-nonlinear-regression

Star15

Robust Regression for arbitrary non-linear functions

python numpy iteration fitting robust outlier-detection fitting-algorithm ransac bayesian-statistics least-square-regression nonlinear-regression bayesian-updates robust-regression

UpdatedJun 16, 2018
Python

yaniv-shulman /rsklpr

Star8

Robust locally weighted multiple regression in Python

python machine-learning statistics regression python3 mit-license polynomial-regression least-square-regression locally-weighted-regression robust-regression robust-statistics

UpdatedNov 5, 2025
Python

bschulz81 /robustregression

Star6

a c++ library with statistical machine learning algorithms for linear and non-linear robust regression that can be used with python.

machine-learning cmake statistics cpp linear-regression linear-algebra regression python3 least-squares levenberg-marquardt outlier-detection ransac outlier-removal gaussian-elimination open-mp forward-search nonlinear-regression robust-regression robust-statistics s-estimator

UpdatedJan 10, 2024
C++

edahelsinki /pyslise

Star6

Robust regression algorithm that can be used for explaining black box models (Python implementation)

python machine-learning research sparse-regression research-paper explainable-ai explainable-ml interpretable-machine-learning robust-regression model-agnostic black-box-explanations local-explanations explain-classifiers slise slise-algorithm

UpdatedMay 11, 2024
Python

edahelsinki /slise

Star5

Robust regression algorithm that can be used for explaining black box models (R implementation)

machine-learning r research r-package sparse-regression research-paper explainable-ai explainable-ml interpretable-machine-learning robust-regression model-agnostic black-box-explanations local-explanations explain-classifiers slise slise-algorithm

UpdatedAug 17, 2023
R

omyllymaki /solvers

Star4

Different type of solvers to solve systems of nonlinear equations

algorithms optimization linear-algebra regression solve-equations fitting evolutionary-algorithms armadillo gradient-descent ransac numerical-optimization solvers gauss-newton-method gauss-newton robust-regression

UpdatedDec 29, 2019
C++

tobiasschoch /wbacon

Star3

Weighted BACON algorithms

statistics outlier-detection r-package outlier robust-regression

UpdatedMay 13, 2025
C

fschur /robust_deconfounding

Star2

DecoR: Deconfounding Time Series with Robust Regression

causality causal-inference robust-regression deconfounding

UpdatedSep 30, 2025
Python

Beliavsky /Alan-Miller-Fortran

Star2

Classification of Alan Miller's Fortran codes for statistics and numerical methods

statistics fortran genetic-algorithm linear-regression linear-algebra constrained-optimization rng global-optimization numerical-optimization nelder-mead unconstrained-optimization modern-fortran multiple-linear-regression robust-regression

UpdatedAug 28, 2024

antimattercorrade /Robust_Regression_RANSAC

Star1

Random Sample Consensus (RANSAC) Python Implementation

python jupyter-notebook python3 curve-fitting ransac regression-analysis random-sample-consensus robust-regression ransac-algorithm

UpdatedDec 2, 2021
Jupyter Notebook

dhanvina /EquiSight

Star1

Unveiling the Art of Stock Market Prognostication through Regression Algorithms. Delve into our research exploring the power of machine learning in predicting market trends. Discover the secrets behind top regression models like Linear, Robust, Ridge, and Lasso Regression. Unravel the complexities of the market with data-driven precision.

machine-learning linear-regression regression stock predictive-analysis ridge-regression lasso-regression market-trends robust-regression regression-analysis-overview the-basics-of-stock-market-analysis implementation-of-linear-regression