Package: sgd
Type: Package
Title: Stochastic Gradient Descent for Scalable Estimation
Version: 1.1
Authors@R: c(
    person("Dustin", "Tran", email = "dustin@cs.columbia.edu", role = c("aut", "cre")),
    person("Panos", "Toulis", role = "aut"),
    person("Tian", "Lian", role = "ctb"),
    person("Ye", "Kuang", role = "ctb"),
    person("Edoardo", "Airoldi", role = "ctb")
    )
Maintainer: Dustin Tran <dustin@cs.columbia.edu>
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
Suggests: bigmemory, gridExtra, R.rsp, testthat
Imports: ggplot2, MASS, methods, Rcpp (>= 0.11.3)
LinkingTo: BH, bigmemory, Rcpp, RcppArmadillo
VignetteBuilder: R.rsp
NeedsCompilation: yes
Packaged: 2016-01-05 02:44:32 UTC; dvt
Author: Dustin Tran [aut, cre],
  Panos Toulis [aut],
  Tian Lian [ctb],
  Ye Kuang [ctb],
  Edoardo Airoldi [ctb]
Repository: CRAN
Date/Publication: 2016-01-05 21:12:16
Built: R 3.2.5; x86_64-w64-mingw32; 2017-04-20 08:29:20 UTC; windows
Archs: i386, x64
