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: 1.7
Depends: R (≥ 2.15), methods
Imports: graphics, stats, utils
Published: 2015-08-15
Author: Roger Koenker and Pin Ng
Maintainer: Roger Koenker <rkoenker at uiuc.edu>
BugReports: NA
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
Package source: SparseM_1.7.tar.gz
Windows binaries: r-devel: SparseM_1.7.zip, r-release: SparseM_1.7.zip, r-oldrel: SparseM_1.7.zip
OS X Mavericks binaries: r-release: SparseM_1.7.tgz, r-oldrel: SparseM_1.7.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, stR, SwarmSVM
Reverse suggests: car, CollocInfer, e1071, LiblineaR, LiblineaR.ACF, R.matlab, sna, sprint
Reverse enhances: Matrix, slam