SparseM: Sparse Linear Algebra

Some basic linear algebra functionality for sparse matrices is provided: including Cholesky decomposition and backsolving as well as standard R subsetting and Kronecker products.

Version: 1.76
Depends: R (≥ 2.15), methods
Imports: graphics, stats, utils
Published: 2017-03-09
Author: Roger Koenker and Pin Ng
Maintainer: Roger Koenker <rkoenker at uiuc.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://www.econ.uiuc.edu/~roger/research/sparse/sparse.html
NeedsCompilation: yes
Materials: README ChangeLog
In views: Econometrics, Multivariate, NumericalMathematics
CRAN checks: SparseM results

Downloads:

Reference manual: SparseM.pdf
Vignettes: An Introduction to the SparseM Package for Sparse Linear Algebra
Package source: SparseM_1.76.tar.gz
Windows binaries: r-devel: SparseM_1.76.zip, r-release: SparseM_1.76.zip, r-oldrel: SparseM_1.76.zip
OS X Mavericks binaries: r-release: SparseM_1.76.tgz, r-oldrel: SparseM_1.76.tgz
Old sources: SparseM archive

Reverse dependencies:

Reverse depends: evmix, hts, maxent, McSpatial, modelfree, pheno, QRegVCM, quantreg, rexpokit, RItools, rms, RTextTools
Reverse imports: baseline, cobs, DDD, DESP, expoRkit, gmum.r, netdiffuseR, nmfgpu4R, pawacc, PResiduals, smoothAPC, stR, SwarmSVM
Reverse suggests: car, CollocInfer, e1071, LiblineaR, LiblineaR.ACF, R.matlab, RSSL, sna, sprint
Reverse enhances: Matrix, slam

Linking:

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