Sparse Partial Robust M Regression, including plot functions
sprm package has been sunset and will no longer be updated.
Its contents have migrated into the
sprm package in this final version will still stay live for a while for backwards compatibility.
How to install
The package is distributed through PyPI, so install through:
pip install sprm
Detailed documentation on how to use the classes is provided in the Documentation file.
For examples, please have a look at the SPRM Examples Notebook.
- Sparse partial robust M regression, Irene Hoffmann, Sven Serneels, Peter Filzmoser, Christophe Croux, Chemometrics and Intelligent Laboratory Systems, 149 (2015), 50-59.
- Partial robust M regression, Sven Serneels, Christophe Croux, Peter Filzmoser, Pierre J. Van Espen, Chemometrics and Intelligent Laboratory Systems, 79 (2005), 55-64.
- Sparse and robust PLS for binary classification, I. Hoffmann, P. Filzmoser, S. Serneels, K. Varmuza, Journal of Chemometrics, 30 (2016), 153-162.
Release Notes can be checked out in the repository.
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