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: 0.1-46
Depends: R (≥ 3.4.0)
Imports: stats
Enhances: Matrix, SparseM, spam
Published: 2019-10-26
Author: Kurt Hornik ORCID iD [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_0.1-46.tar.gz
Windows binaries: r-devel: slam_0.1-46.zip, r-devel-gcc8: slam_0.1-46.zip, r-release: slam_0.1-46.zip, r-oldrel: slam_0.1-46.zip
OS X binaries: r-release: slam_0.1-46.tgz, r-oldrel: slam_0.1-46.tgz
Old sources: slam archive

Reverse dependencies:

Reverse depends: biogram, BullsEyeR, designmatch, maptpx, qlcMatrix, RcmdrPlugin.temis, Rcplex, Rglpk, R.temis
Reverse imports: chinese.misc, fPortfolio, gofastr, HDCI, IMIFA, ldatuning, lpmodeler, movMF, ompr.roi, parma, polmineR, rDEA, relations, ribd, ROI, ROI.plugin.clp, ROI.plugin.cplex, ROI.plugin.ecos, ROI.plugin.ipop, ROI.plugin.msbinlp, ROI.plugin.qpoases, ROI.plugin.quadprog, ROI.plugin.scs, ROI.plugin.symphony, sdcTable, skmeans, stm, textcat, textmining, textshape, tm, tm.plugin.dc, topicdoc, topicmodels, TopicScore, Xplortext
Reverse suggests: CVXR, DoE.MIParray, e1071, ECOSolveR, h2o, icarus, ivmte, quanteda, RcppArmadillo, rmumps, ROI.plugin.lpsolve, ROI.plugin.neos, scs, sigora, wordcloud
Reverse enhances: coop, OptimalDesign, Rsymphony

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