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.


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Reference manual

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install.packages("SparseM")

1.81 by Roger Koenker, 3 months ago


http://www.econ.uiuc.edu/~roger/research/sparse/sparse.html


Browse source code at https://github.com/cran/SparseM


Authors: 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)


Documentation:   PDF Manual  


Task views: Econometrics, Multivariate Statistics, Numerical Mathematics


GPL (>= 2) license


Imports graphics, stats, utils

Depends on methods


Imported by DDD, LRQMM, PResiduals, SortedEffects, SwarmSVM, baseline, bgumbel, cobs, diproperm, hts, lefko3, needmining, pawacc, quanteda.textmodels, quantilogram, smoothAPC, stR.

Depended on by DWDLargeR, QRegVCM, RItools, RTextTools, evmix, modelfree, pheno, quantreg, rms.

Suggested by CollocInfer, LiblineaR, LiblineaR.ACF, R.matlab, RSSL, WeightSVM, car, e1071, mpath, sna.

Enhanced by Matrix, Rsymphony, cmfrec, isotree, slam.


See at CRAN