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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Roger Koenker, a year ago
Browse source code at
Roger Koenker <[email protected]> and Pin Ng <[email protected]>
GPL (>= 2)
Imports graphics, stats, utils
Depends on methods
DDD, LRQMM, PResiduals, SortedEffects, SwarmSVM, baseline, cobs, diproperm, hts, needmining, netdiffuseR, pawacc, quanteda.textmodels, quantilogram, smoothAPC, stR.
Depended on by
DWDLargeR, McSpatial, QRegVCM, RItools, RTextTools, evmix, modelfree, pheno, quantreg, rms.
CollocInfer, LiblineaR, LiblineaR.ACF, R.matlab, RSSL, WeightSVM, car, e1071, kernelTDA, sna, spam.
Matrix, Rsymphony, cmfrec, isotree, poismf, slam.
See at CRAN