MatrixModels: Modelling with Sparse And Dense Matrices

Modelling with sparse and dense 'Matrix' matrices, using modular prediction and response module classes.

Version: 0.4-0
Depends: R (≥ 2.14.0), utils
Imports: stats, methods, Matrix (≥ 1.0-1)
Published: 2015-01-14
Author: Douglas Bates and Martin Maechler
Maintainer: Martin Maechler <mmaechler+Matrix at>
Contact: Doug and Martin <>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: ChangeLog
CRAN checks: MatrixModels results


Reference manual: MatrixModels.pdf
Package source: MatrixModels_0.4-0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Snow Leopard binaries: r-release: MatrixModels_0.4-0.tgz, r-oldrel: MatrixModels_0.4-0.tgz
OS X Mavericks binaries: r-release: MatrixModels_0.4-0.tgz
Old sources: MatrixModels archive

Reverse dependencies:

Reverse imports: BayesFactor, OutlierDM
Reverse suggests: car, GeoXp, quantreg
Reverse enhances: Matrix