Package: sgd
Type: Package
Title: Stochastic Gradient Descent for Scalable Estimation
Version: 1.1.1
Authors@R: c(
    person("Junhyung Lyle", "Kim", email = "lylejkim@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 <lylejkim@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
LinkingTo: BH, bigmemory, Rcpp, RcppArmadillo
LazyData: yes
VignetteBuilder: R.rsp
RoxygenNote: 6.1.1
NeedsCompilation: yes
Packaged: 2019-07-12 21:17:49 UTC; lylekim
Author: Junhyung Lyle Kim [cre, aut],
  Dustin Tran [aut],
  Panos Toulis [aut],
  Tian Lian [ctb],
  Ye Kuang [ctb],
  Edoardo Airoldi [ctb]
Repository: CRAN
Date/Publication: 2019-07-12 22:11:28 UTC
Built: R 3.6.3; x86_64-w64-mingw32; 2020-08-05 07:18:09 UTC; windows
Archs: i386, x64
