Adieu, sprm package!

The sprm package has been sunset and will no longer be updated. Its contents have migrated into the direpack package:

• PyPI
• GitHub

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 

Documentation

Detailed documentation on how to use the classes is provided in the Documentation file.

Examples

For examples, please have a look at the SPRM Examples Notebook.

References

1. Sparse partial robust M regression, Irene Hoffmann, Sven Serneels, Peter Filzmoser, Christophe Croux, Chemometrics and Intelligent Laboratory Systems, 149 (2015), 50-59.
2. Partial robust M regression, Sven Serneels, Christophe Croux, Peter Filzmoser, Pierre J. Van Espen, Chemometrics and Intelligent Laboratory Systems, 79 (2005), 55-64.
3. 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.