matrixStats: Functions that Apply to Rows and Columns of Matrices (and to Vectors)

High-performing functions operating on rows and columns of matrices, e.g. col / rowMedians(), col / rowRanks(), and col / rowSds(). Functions optimized per data type and for subsetted calculations such that both memory usage and processing time is minimized. There are also optimized vector-based methods, e.g. binMeans(), madDiff() and weightedMedian().

Version: 0.54.0
Depends: R (≥ 2.12.0)
Suggests: base64enc, ggplot2, knitr, microbenchmark, R.devices, R.rsp
Published: 2018-07-23
Author: Henrik Bengtsson [aut, cre, cph], Hector Corrada Bravo [ctb], Robert Gentleman [ctb], Ola Hossjer [ctb], Harris Jaffee [ctb], Dongcan Jiang [ctb], Peter Langfelder [ctb], Peter Hickey [ctb]
Maintainer: Henrik Bengtsson <henrikb at braju.com>
BugReports: https://github.com/HenrikBengtsson/matrixStats/issues
License: Artistic-2.0
URL: https://github.com/HenrikBengtsson/matrixStats
NeedsCompilation: yes
Materials: NEWS
CRAN checks: matrixStats results

Downloads:

Reference manual: matrixStats.pdf
Vignettes: matrixStats: Summary of functions
Package source: matrixStats_0.54.0.tar.gz
Windows binaries: r-devel: matrixStats_0.54.0.zip, r-release: matrixStats_0.54.0.zip, r-oldrel: matrixStats_0.54.0.zip
OS X binaries: r-release: matrixStats_0.54.0.tgz, r-oldrel: matrixStats_0.54.0.tgz
Old sources: matrixStats archive

Reverse dependencies:

Reverse depends: aSPU, BayesTwin, BRISC, DAMOCLES, DisHet, DPWeibull, FastHCS, FastPCS, FastRCS, GAD, GUniFrac, InfiniumPurify, localgauss, LS2Wstat, NSA, POMaSPU, r2dRue, RAC, sindyr, splitFeas, StructFDR, ttScreening
Reverse imports: abcrf, ACNE, adjclust, aroma.affymetrix, aroma.cn, aroma.core, baystability, bdynsys, bigstep, bingat, bmrm, bnclassify, brms, calmate, CARBayesST, carx, cellWise, ChemoSpec2D, childhoodmortality, cna, CNVScope, cointmonitoR, cointReg, cosinor2, CpGFilter, detrendr, DGCA, DHS.rates, dplR, eseis, estudy2, expss, FADA, fergm, filesstrings, GenEst, ggdmc, GJRM, GPrank, haploReconstruct, IMIFA, jointseg, kernDeepStackNet, kgschart, kpmt, LFDREmpiricalBayes, liger, loo, lspartition, ltmle, Luminescence, matrixTests, MFHD, mgcViz, MHTcop, microsamplingDesign, mixOmics, mmtfa, MoEClust, mrfDepth, NetLogoR, neurobase, nparMD, peakPick, PSCBS, randomizationInference, RCarb, rhierbaps, RTransProb, samr, SemiParSampleSel, SGP, sizeMat, smerc, stability, stapler, staRdom, statar, stm, strex, summarytools, SuperPCA, support, visualFields, WGCNA
Reverse suggests: cifti, DatabionicSwarm, dtree, GeneralizedUmatrix, LSAmitR, MetaQC, MultiBD, nandb, sctransform

Linking:

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