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A fast and flexible set of tools for large scale estimation. It features many stochastic gradient methods, built-in models, visualization tools, automated hyperparameter tuning, model checking, interval estimation, and convergence diagnostics.
| Version: | 1.1.2 |
| Imports: | ggplot2, MASS, methods, Rcpp (≥ 0.11.3), stats |
| LinkingTo: | BH, bigmemory, Rcpp, RcppArmadillo |
| Suggests: | bigmemory, glmnet, gridExtra, R.rsp, testthat |
| Published: | 2024-01-31 |
| DOI: | 10.32614/CRAN.package.sgd |
| Author: | Junhyung Lyle Kim [cre, aut], Dustin Tran [aut], Panos Toulis [aut], Tian Lian [ctb], Ye Kuang [ctb], Edoardo Airoldi [ctb] |
| Maintainer: | Junhyung Lyle Kim <jlylekim at gmail.com> |
| BugReports: | https://github.com/airoldilab/sgd/issues |
| License: | GPL-2 |
| URL: | https://github.com/airoldilab/sgd |
| NeedsCompilation: | yes |
| Materials: | README |
| CRAN checks: | sgd results |
| Reference manual: | sgd.pdf |
| Vignettes: |
Stochastic gradient decent methods for estimation with large data sets |
| Package source: | sgd_1.1.2.tar.gz |
| Windows binaries: | r-devel: sgd_1.1.2.zip, r-release: sgd_1.1.2.zip, r-oldrel: sgd_1.1.2.zip |
| macOS binaries: | r-release (arm64): sgd_1.1.2.tgz, r-oldrel (arm64): sgd_1.1.2.tgz, r-release (x86_64): sgd_1.1.2.tgz, r-oldrel (x86_64): sgd_1.1.2.tgz |
| Old sources: | sgd archive |
Please use the canonical form https://CRAN.R-project.org/package=sgd to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.