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: 1.81
Depends: R (≥ 2.15), methods
Imports: graphics, stats, utils
Published: 2021-02-18
Author: Roger Koenker [cre, aut], Pin Tian Ng [ctb] (Contributions to Sparse QR code), Yousef Saad [ctb] (author of sparskit2), Ben Shaby [ctb] (author of chol2csr)
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_1.81.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: SparseM_1.81.tgz, r-oldrel: SparseM_1.81.tgz
Old sources: SparseM archive

Reverse dependencies:

Reverse depends: DWDLargeR, evmix, modelfree, pheno, QRegVCM, quantreg, RItools, rms, RTextTools, safe, sagenhaft, topGO
Reverse imports: baseline, cobs, DDD, diproperm, flagme, hts, ILoReg, LRQMM, needmining, netdiffuseR, pawacc, PResiduals, quanteda.textmodels, quantilogram, sigFeature, smoothAPC, SortedEffects, stR, SwarmSVM
Reverse suggests: car, CollocInfer, e1071, GOstats, graph, kebabs, LiblineaR, LiblineaR.ACF, mpath, R.matlab, RSSL, sna, WeightSVM
Reverse enhances: cmfrec, isotree, Matrix, poismf, Rsymphony, slam


Please use the canonical form to link to this page.