Some basic linear algebra functionality for sparse matrices is provided: including Cholesky decomposition and backsolving as well as standard R subsetting and Kronecker products.
Version: | 1.7 |
Depends: | R (≥ 2.15), methods |
Imports: | graphics, stats, utils |
Published: | 2015-08-15 |
Author: | Roger Koenker and Pin Ng |
Maintainer: | Roger Koenker <rkoenker at uiuc.edu> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | http://www.econ.uiuc.edu/~roger/research/sparse/sparse.html |
NeedsCompilation: | yes |
Materials: | README ChangeLog |
In views: | Econometrics, Multivariate, NumericalMathematics |
CRAN checks: | SparseM results |
Reference manual: | SparseM.pdf |
Package source: | SparseM_1.7.tar.gz |
Windows binaries: | r-devel: SparseM_1.7.zip, r-release: SparseM_1.7.zip, r-oldrel: SparseM_1.7.zip |
OS X Snow Leopard binaries: | r-release: SparseM_1.7.tgz, r-oldrel: SparseM_1.6.tgz |
OS X Mavericks binaries: | r-release: SparseM_1.7.tgz |
Old sources: | SparseM archive |
Reverse depends: | evmix, hts, maxent, McSpatial, modelfree, pheno, quantreg, REBayes, rexpokit, rms, RTextTools |
Reverse imports: | baseline, cobs, DESP, expoRkit, pawacc, RItools, SwarmSVM |
Reverse suggests: | car, CollocInfer, e1071, LiblineaR, R.matlab, sna, sprint |
Reverse enhances: | Matrix, slam |