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 Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=sgd to link to this page.
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