SSDL: Sketched Stochastic Dictionary Learning

Toolbox for learning a dictionary from large-scale data collection using the Sketched Stochastic Dictionary Learning method (see Permiakova O, Burger T. "Sketched Stochastic Dictionary Learning for large-scale data and application to large-scale mass spectrometry data", 2021). It includes the routines for the dictionary initialization.

Version: 1.1
Depends: R (≥ 3.6)
Imports: Rcpp, bigstatsr (≥ 1.2.3), chickn (≥ 1.2.3), RcppParallel, glmnet, parallel, foreach, doParallel, doRNG, reshape2, stats, utils, pracma, Rdpack
LinkingTo: Rcpp, RcppArmadillo, RcppParallel, rmio
Published: 2021-03-10
Author: Olga Permiakova [aut, cre], Thomas Burger [aut]
Maintainer: Olga Permiakova <olga.permiakova at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
SystemRequirements: C++11
Materials: README
CRAN checks: SSDL results

Downloads:

Reference manual: SSDL.pdf
Package source: SSDL_1.1.tar.gz
Windows binaries: r-devel: SSDL_1.1.zip, r-devel-UCRT: SSDL_1.1.zip, r-release: SSDL_1.1.zip, r-oldrel: SSDL_1.1.zip
macOS binaries: r-release (arm64): SSDL_1.1.tgz, r-release (x86_64): SSDL_1.1.tgz, r-oldrel: SSDL_1.1.tgz

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