Package: sgd
Type: Package
Title: Stochastic Gradient Descent for Scalable Estimation
Version: 1.1.3
Authors@R: c(
    person("Junhyung Lyle", "Kim", email = "jlylekim@gmail.com", role = c("cre", "aut")),
    person("Dustin", "Tran", role = "aut"),
    person("Panos", "Toulis", role = "aut"),
    person("Tian", "Lian", role = "ctb"),
    person("Ye", "Kuang", role = "ctb"),
    person("Edoardo", "Airoldi", role = "ctb")
    )
Maintainer: Junhyung Lyle Kim <jlylekim@gmail.com>
Description: 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.
URL: https://github.com/airoldilab/sgd
BugReports: https://github.com/airoldilab/sgd/issues
License: GPL-2
Imports: ggplot2, MASS, methods, Rcpp (>= 0.11.3), stats
Suggests: bigmemory, glmnet, gridExtra, R.rsp, testthat, microbenchmark
LinkingTo: BH, bigmemory, Rcpp, RcppArmadillo
LazyData: yes
VignetteBuilder: R.rsp
Encoding: UTF-8
RoxygenNote: 7.3.3
Repository: https://airoldilab.r-universe.dev
Date/Publication: 2025-11-08 06:18:03 UTC
RemoteUrl: https://github.com/airoldilab/sgd
RemoteRef: HEAD
RemoteSha: da4f8d241780924c2fe86411770027769def07cf
NeedsCompilation: yes
Packaged: 2026-06-06 07:34:25 UTC; root
Author: Junhyung Lyle Kim [cre, aut],
  Dustin Tran [aut],
  Panos Toulis [aut],
  Tian Lian [ctb],
  Ye Kuang [ctb],
  Edoardo Airoldi [ctb]