DESCRIPTION

Package: cvma
Title: Cross-validation-based maximal association
Version: 0.1.0
Authors@R: c(person("David", "Benkeser", role = c("aut", "cre", "cph"),
                    email = "benkeser@emory.edu"),
             person("Ivana", "Malenica", role = c("aut"),
                    email = "imalenica@berkeley.edu")
            )
Description: Estimates of association of a set of covariates with a multivariate outcome.
    Nested cross-validation is used to fit super learners for each component of the outcome, and to determine a composite outcomes that maximizes the fit of the super learner. Finally, an outer layer of cross-validation is used to accurately assess an association of the super learner with the optimized composite outcome.
Depends:
    R (>= 3.0.0),
    SuperLearner
Imports: 
    Rsolnp,
    cvAUC,
    ROCR,
    future,
    future.apply,
    data.table
Suggests: 
    testthat,
    knitr,
    rmarkdown,
    utils
License: MIT + file LICENSE
URL: https://github.com/benkeser/cvma
BugReports: https://github.com/benkeser/cvma/issues
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 6.1.1