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 [issues need fixing before 2025-10-23] |