MatrixModels: Modelling with Sparse and Dense Matrices

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

Version: 0.5-0
Depends: R (≥ 3.0.1)
Imports: stats, methods, Matrix (≥ 1.1-5)
Published: 2021-03-02
Author: Douglas Bates and Martin Maechler
Maintainer: Martin Maechler <mmaechler+Matrix at gmail.com>
Contact: Doug and Martin <Matrix-authors@R-project.org>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://Matrix.R-forge.R-project.org/
NeedsCompilation: no
Materials: ChangeLog
CRAN checks: MatrixModels results

Documentation:

Reference manual: MatrixModels.pdf

Downloads:

Package source: MatrixModels_0.5-0.tar.gz
Windows binaries: r-devel: MatrixModels_0.5-0.zip, r-release: MatrixModels_0.5-0.zip, r-oldrel: MatrixModels_0.5-0.zip
macOS binaries: r-release (arm64): MatrixModels_0.5-0.tgz, r-release (x86_64): MatrixModels_0.5-0.tgz, r-oldrel: MatrixModels_0.5-0.tgz
Old sources: MatrixModels archive

Reverse dependencies:

Reverse imports: BayesESS, BayesFactor, OutlierDM, pre, QTOCen, quantreg, twang, twangRDC
Reverse suggests: car
Reverse enhances: Matrix

Linking:

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