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

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


1.77 by Roger Koenker, 7 months ago

Browse source code at

Authors: Roger Koenker <> 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