DESCRIPTION

Package: sgd
Type: Package
Title: Stochastic Gradient Descent for Scalable Estimation
Version: 1.1.2
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
LinkingTo:
    BH,
    bigmemory,
    Rcpp,
    RcppArmadillo
LazyData: yes
VignetteBuilder: R.rsp
Encoding: UTF-8
RoxygenNote: 7.3.1