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: 1.78
Depends: R (≥ 2.15), methods
Imports: graphics, stats, utils
Published: 2019-12-13
Author: Roger Koenker and Pin Ng
Maintainer: Roger Koenker <rkoenker at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials: README ChangeLog
In views: Econometrics, Multivariate, NumericalMathematics
CRAN checks: SparseM results


Reference manual: SparseM.pdf
Vignettes: An Introduction to the SparseM Package for Sparse Linear Algebra
Package source: SparseM_1.78.tar.gz
Windows binaries: r-devel:, r-devel-gcc8:, r-release:, r-oldrel:
OS X binaries: r-release: SparseM_1.78.tgz, r-oldrel: SparseM_1.78.tgz
Old sources: SparseM archive

Reverse dependencies:

Reverse depends: DWDLargeR, evmix, McSpatial, modelfree, pheno, QRegVCM, quantreg, RItools, rms
Reverse imports: baseline, cobs, DDD, hts, LRQMM, needmining, nmfgpu4R, pawacc, poismf, PResiduals, smoothAPC, SortedEffects, stR, SwarmSVM
Reverse suggests: car, CollocInfer, e1071, fabletools, kernelTDA, LiblineaR, LiblineaR.ACF, R.matlab, RSSL, sna, spam
Reverse enhances: isotree, Matrix, Matrix, Rsymphony, slam


Please use the canonical form to link to this page.