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-oldrel (arm64): MatrixModels_0.5-0.tgz, r-release (x86_64): MatrixModels_0.5-0.tgz, r-oldrel (x86_64): MatrixModels_0.5-0.tgz
Old sources:	MatrixModels archive

Reverse dependencies:

Reverse depends:	RGE
Reverse imports:	BayesESS, BayesFactor, inlabru, multilateral, pre, QTOCen, quantreg, twang, twangRDC
Reverse suggests:	car, robustlmm
Reverse enhances:	Matrix

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