slam: Sparse Lightweight Arrays and Matrices

Data structures and algorithms for sparse arrays and matrices, based on index arrays and simple triplet representations, respectively.

Version: 0.1-40
Depends: R (≥ 3.3.1)
Imports: stats
Enhances: Matrix, SparseM, spam
Published: 2016-12-01
Author: Kurt Hornik [aut, cre], David Meyer [aut], Christian Buchta [aut]
Maintainer: Kurt Hornik <Kurt.Hornik at R-project.org>
License: GPL-2
NeedsCompilation: yes
CRAN checks: slam results

Downloads:

Reference manual: slam.pdf
Package source: slam_0.1-40.tar.gz
Windows binaries: r-devel: slam_0.1-40.zip, r-release: slam_0.1-40.zip, r-oldrel: slam_0.1-37.zip
OS X Mavericks binaries: r-release: slam_0.1-39.tgz, r-oldrel: slam_0.1-37.tgz
Old sources: slam archive

Reverse dependencies:

Reverse depends: biogram, cherry, designmatch, maptpx, qlcMatrix, RcmdrPlugin.temis, Rcplex, Rglpk, sdcTable
Reverse imports: fPortfolio, ldatuning, lpmodeler, LPR, movMF, parma, polmineR, prioritizr, rDEA, relations, RNewsflow, ROI, ROI.plugin.cplex, ROI.plugin.ecos, ROI.plugin.ipop, ROI.plugin.quadprog, ROI.plugin.scs, ROI.plugin.symphony, skmeans, stm, textcat, textmining, tm, tm.plugin.dc, toaster, topicmodels, wordcloud
Reverse suggests: icarus, quanteda, rmumps, sigora
Reverse enhances: coop, OptimalDesign, Rsymphony

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