bigmemory

Manage Massive Matrices with Shared Memory and Memory-Mapped Files

Create, store, access, and manipulate massive matrices. Matrices are allocated to shared memory and may use memory-mapped files. Packages 'biganalytics', 'bigtabulate', 'synchronicity', and 'bigalgebra' provide advanced functionality.

Reference manual

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install.packages("bigmemory")

4.6.6 by Michael J. Kane, 4 months ago

https://github.com/kaneplusplus/bigmemory

Report a bug at https://github.com/kaneplusplus/bigmemory/issues

Browse source code at https://github.com/cran/bigmemory

Authors: Michael J. Kane [aut, cre] (ORCID: , John W. Emerson [aut] , Peter Haverty [aut] , Charles Determan [aut]

Documentation:   PDF Manual  

LGPL-3 | Apache License 2.0 license

Imports bigmemory.sri, methods, utils, Rcpp, uuid

Suggests testthat, remotes

Enhances biganalytics, bigtabulate

Linking to BH, uuid, Rcpp

Imported by BGData, MMD, MXM, NST, TSEAL, bigPLSR, bigPLScox, bigSurvSGD, bigstep, fastglm, fusedMGM, iCAMP, kangar00, kofnGA, lmmpar, mbest, mrMLM.GUI, pGRN, rMVP, s2dv, simer, simlandr, slideimp, startR, xrnet.

Depended on by Bios2cor, EMJMCMC, bigalgebra, biganalytics, biglasso, glmmPen, hibayes, oem, plmmr.

Suggested by LinkedMatrix, NMF, NetRep, SLOPE, SuperLearner, bigANNOY, bigKNN, bigPCAcpp, bigstatsr, bio3d, houba, matpow, nat.nblast, sgd.

Enhanced by bigmemory.sri.

See at CRAN

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