Third Party Notices
December 12, 2025 ยท View on GitHub
This library contains independent Rust implementations inspired by algorithms and methodologies from several open-source projects. We gratefully acknowledge their contributions.
Note: This library is licensed under MIT. The attributions below are for methodological inspiration and academic courtesy. No source code was copied from these projects; all implementations are original Rust code.
greybox
Repository: https://github.com/config-i1/greybox Author: Ivan Svetunkov Original License: LGPL-2.1
The Augmented Linear Model (ALM) methodology is inspired by the greybox R package. This includes:
- ALM distribution families (24 distributions)
- Maximum likelihood estimation approach
- AID (Automatic Identification of Demand) classification methodology
Our implementation is an independent clean-room Rust implementation validated against R's output, not a derivative work of greybox's source code.
argmin (MIT/Apache-2.0)
Repository: https://github.com/argmin-rs/argmin
Used for numerical optimization:
- L-BFGS optimization for ALM and Elastic Net
- More-Thuente line search
Copyright (c) argmin developers
License: MIT OR Apache-2.0
faer (MIT)
Repository: https://github.com/sarah-ek/faer-rs
High-performance linear algebra library used for:
- Matrix operations
- QR decomposition for OLS
- Cholesky decomposition
Copyright (c) Sarah El-Kazdadi
License: MIT
statrs (MIT)
Repository: https://github.com/statrs-dev/statrs
Statistical distributions and functions used for:
- Probability distributions (Normal, Gamma, Beta, etc.)
- Statistical functions (CDF, PDF, quantile)
Copyright (c) statrs developers
License: MIT
R Statistical Computing
Several algorithms are validated against and inspired by R's implementation:
stats::lm()- Linear model methodologystats::glm()- Generalized linear model frameworkMASS::glm.nb()- Negative binomial regressionglmnet::glmnet()- Elastic net methodologystatmod::tweedie()- Tweedie distributioncar::vif()- Variance inflation factor
All licenses permit use in this MIT-licensed library with proper attribution.