Matrix: Sparse and Dense Matrix Classes and Methods

Classes and methods for dense and sparse matrices and operations on them using Lapack and SuiteSparse.

Version: 0.999375-31
Priority: recommended
Depends: R (≥ 2.9.0), stats, methods, utils, lattice
Imports: graphics, lattice, grid, stats
Enhances: graph, SparseM
Published: 2009-10-08
Author: Douglas Bates and Martin Maechler
Maintainer: Doug and Martin <Matrix-authors at R-project.org>
License: GPL (≥ 2)
SystemRequirements: GNU make
In views: Econometrics, Multivariate, SocialSciences
CRAN checks: Matrix results

Downloads:

Package source: Matrix_0.999375-31.tar.gz
MacOS X binary: Matrix_0.999375-31.tgz
Windows binary: Matrix_0.999375-31.zip
Reference manual: Matrix.pdf
Vignettes: Comparisons of Least Squares calculation speeds
Design Issues in Matrix package Development
2nd Introduction to the Matrix Package
Introduction to the Matrix Package
Sparse Model Matrices
News/ChangeLog:ChangeLog
Old sources: Matrix archive

Reverse dependencies:

Reverse depends: FAiR, FTICRMS, GLMMarp, GOSim, MCMCglmm, Metabonomic, amer, arm, arules, gamm4, glmnet, klin, languageR, lme4, mediation, mlmRev, pedigreemm, phybase, qgen, ramps, spdep, speedglm, surveillance, surveyNG, svcm, systemfit, tpr, tsDyn
Reverse imports: RSiena, arules, cba, doBy, mgcv
Reverse suggests: R.matlab, Rcsdp, blockmodeling, classGraph, e1071, fGarch, gmodels, igraph, lda, mgcv, rattle, spam, survey
Reverse enhances: Rcplex, Rcsdp, skmeans