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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: 1.84-2
Depends: R (≥ 2.15), methods
Imports: graphics, stats, utils
Suggests: knitr
Published: 2024-07-17
DOI: 10.32614/CRAN.package.SparseM
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), Martin Maechler ORCID iD [ctb] (chol() tweaks; S4)
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, NumericalMathematics
CRAN checks: SparseM results

Documentation:

Reference manual: SparseM.pdf
Vignettes: An Introduction to the SparseM Package for Sparse Linear Algebra

Downloads:

Package source: SparseM_1.84-2.tar.gz
Windows binaries: r-devel: SparseM_1.84-2.zip, r-release: SparseM_1.84-2.zip, r-oldrel: SparseM_1.84-2.zip
macOS binaries: r-release (arm64): SparseM_1.84-2.tgz, r-oldrel (arm64): SparseM_1.84-2.tgz, r-release (x86_64): SparseM_1.84-2.tgz, r-oldrel (x86_64): SparseM_1.84-2.tgz
Old sources: SparseM archive

Reverse dependencies:

Reverse depends: evmix, LKT, pheno, QRegVCM, quantreg, quantregGrowth, RTextTools, safe, sagenhaft, topGO
Reverse imports: adass, baseline, bgumbel, cobs, cpmBigData, DDD, did2s, flagme, hts, ILoReg, lincom, modelfree, multipleDL, needmining, netdiffuseR, ormBigData, pawacc, PResiduals, quanteda.textmodels, RItools, rms, RPPASPACE, sigFeature, smoothAPC, SortedEffects, stR
Reverse suggests: car, CollocInfer, e1071, GOstats, graph, kebabs, LiblineaR, mpath, quantilogram, R.matlab, RSSL, sna, WeightSVM
Reverse enhances: isotree, Matrix, Rsymphony, slam

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.