Package: sgd
Type: Package
Title: Stochastic Gradient Descent for Scalable Estimation
Version: 0.1
Authors@R: c(
    person("Dustin", "Tran", email = "dtran@g.harvard.edu", role = c("aut", "cre")),
    person("Tian", "Lian", role = "aut"),
    person("Panos", "Toulis", role = "aut"),
    person("Ye", "Kuang", role = "ctb"),
    person("Edoardo", "Airoldi", role = "ctb")
    )
Maintainer: Dustin Tran <dtran@g.harvard.edu>
Description: A fast and flexible set of tools for large scale inference. It
    features many different 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: Rcpp (>= 0.11.3), MASS
LinkingTo: Rcpp, RcppArmadillo, BH
Packaged: 2015-05-08 03:07:56 UTC; dvt
Author: Dustin Tran [aut, cre],
  Tian Lian [aut],
  Panos Toulis [aut],
  Ye Kuang [ctb],
  Edoardo Airoldi [ctb]
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2015-05-08 11:45:39
