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 |
| 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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