MatrixModels: Modelling with Sparse and Dense Matrices

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

Version: 0.5-2
Depends: R (≥ 3.6.0)
Imports: stats, methods, Matrix (≥ 1.6-0)
Published: 2023-07-10
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_0.5-2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): MatrixModels_0.5-2.tgz, r-oldrel (arm64): MatrixModels_0.5-1.tgz, r-release (x86_64): MatrixModels_0.5-2.tgz, r-oldrel (x86_64): MatrixModels_0.5-1.tgz
Old sources: MatrixModels archive

Reverse dependencies:

Reverse depends: RGE
Reverse imports: BayesESS, BayesFactor, diagL1, inlabru, multilateral, pre, QTOCen, quantreg, twang, twangRDC
Reverse suggests: BayesfMRI, car, ClassifyR


Please use the canonical form to link to this page.