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.


Reference manual

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1.81 by Roger Koenker, 3 months ago

Browse source code at

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