Package: sprm
Type: Package
Title: Sparse and Non-Sparse Partial Robust M Regression and
        Classification
Version: 1.2.2
Date: 2016-02-22
Author: Sven Serneels (BASF Corp) and Irene Hoffmann
Maintainer: Irene Hoffmann <irene.hoffmann@tuwien.ac.at>
Description: Robust dimension reduction methods for regression and discriminant analysis are implemented that yield estimates with a partial least squares alike interpretability. Partial robust M regression (PRM) is robust to both vertical outliers and leverage points. Sparse partial robust M regression (SPRM) is a related robust method with sparse coefficient estimate, and therefore with intrinsic variable selection. For binary classification related discriminant methods are PRM-DA and SPRM-DA.
License: GPL (>= 3)
Depends: ggplot2 (>= 2.0.0)
Imports: cvTools, graphics, grDevices, grid, pcaPP, reshape2,
        robustbase, stats
NeedsCompilation: no
Packaged: 2016-02-22 11:48:08 UTC; hoffmann
Repository: CRAN
Date/Publication: 2016-02-22 14:33:44
Built: R 4.0.2; ; 2020-07-17 04:27:12 UTC; unix
