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")

1.77 by Roger Koenker, 7 months ago


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


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


Authors: Roger Koenker <rkoenker@uiuc.edu> and Pin Ng <Pin.Ng@NAU.EDU>


Documentation:   PDF Manual  


Task views: Econometrics, Multivariate Statistics, Numerical Mathematics


GPL (>= 2) license


Imports graphics, stats, utils

Depends on methods


Imported by DDD, DESP, PResiduals, SwarmSVM, baseline, cobs, expoRkit, gmum.r, hts, netdiffuseR, nmfgpu4R, pawacc, smoothAPC, stR.

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

Suggested by CollocInfer, LiblineaR, LiblineaR.ACF, R.matlab, RSSL, car, e1071, sna, spam, sprint.

Enhanced by Matrix, Rsymphony, slam.


See at CRAN