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: | 1.78 |
| Depends: | R (≥ 2.15), methods |
| Imports: | graphics, stats, utils |
| Published: | 2019-12-13 |
| 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 |
| Vignettes: |
An Introduction to the SparseM Package for Sparse Linear Algebra |
| Package source: | SparseM_1.78.tar.gz |
| Windows binaries: | r-devel: SparseM_1.78.zip, r-release: SparseM_1.78.zip, r-oldrel: SparseM_1.78.zip |
| macOS binaries: | r-release: SparseM_1.78.tgz, r-oldrel: SparseM_1.78.tgz |
| Old sources: | SparseM archive |
| Reverse depends: | DWDLargeR, evmix, GOFunction, McSpatial, modelfree, pheno, QRegVCM, quantreg, RItools, rms, RTextTools, safe, sagenhaft, topGO |
| Reverse imports: | baseline, cobs, DDD, flagme, GOFunction, hts, LRQMM, needmining, netdiffuseR, nmfgpu4R, pawacc, PResiduals, quanteda.textmodels, quantilogram, sigFeature, smoothAPC, SortedEffects, stR, SwarmSVM |
| Reverse suggests: | car, CollocInfer, e1071, fabletools, GOstats, graph, kebabs, kernelTDA, LiblineaR, LiblineaR.ACF, R.matlab, RSSL, sna, spam, WeightSVM |
| Reverse enhances: | isotree, Matrix, Matrix, poismf, Rsymphony, slam |
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