DESCRIPTION

Package: sgdnet
Title: Fast Sparse Linear Models for Big Data with SAGA
Version: 0.0.0.9000
Authors@R: c(person("Johan", "Larsson", email = "johanlarsson@outlook.com",
                    role = c("aut", "cre"),
                    comment = c(ORCID = "0000-0002-4029-5945")),
             person(c("Toby", "Dylan"), "Hocking", role = c("aut")),
             person("Michael", "Weylandt", role = c("aut")))
Description: Fast implementations of elastic net-regularized generalized linear
    models (gaussian, multivariate gaussian, binomial, and multinomial)
    using SAGA: a fast stochastic incremental gradient algorithm.
License: GPL-3
Copyright: See file inst/COPYRIGHTS
Encoding: UTF-8
LazyData: true
URL: https://github.com/jolars/sgdnet
BugReports: https://github.com/jolars/sgdnet/issues
RoxygenNote: 6.1.0
Roxygen: list(markdown = TRUE)
Depends: R (>= 3.3.0)
Imports: 
    Rcpp,
    Matrix,
    methods,
    lattice
Suggests: 
    covr,
    testthat,
    glmnet,
    knitr,
    rmarkdown,
    latticeExtra
LinkingTo: 
    Rcpp (>= 0.12.16),
    RcppEigen (>= 0.3.3.4.0)
VignetteBuilder: knitr