Authors@R: c(person("Jelmer", "Ypma", role = c("aut", "cre"),
person(c("Steven", "G."), "Johnson", role = "aut",
comment = "author of the NLopt C library"),
person(c("Hans", "W."), "Borchers", role = "ctb",
person("Dirk", "Eddelbuettel", role = "ctb",
comment = "build process on multiple OS"),
person("Julien", "Chiquet", role = "ctb"),
person(given = "Avraham", family = "Adler",
comment = c("removal deprecated calls from tests",
SystemRequirements: A system installation of NLopt >= 2.4.0 (with
Steven G. Johnson [aut] (author of the NLopt C library),
Brian Ripley [ctb] (build process on multiple OS),
Kurt Hornik [ctb] (build process on multiple OS),
Avraham Adler [ctb] (removal deprecated calls from tests,

Authors@R: c(person("Jelmer", "Ypma", role = "aut",
person("Avraham", "Adler", role = "ctb",
person("Xiongtao", "Dai", role = "ctb"),
person("Aymeric", "Stamm", role = c("ctb", "cre"),
information on the available algorithms. Building from included sources
requires 'CMake'. On Linux and 'macOS', if a suitable system build of
NLopt (2.7.0 or later) is found, it is used; otherwise, it is built
from included sources via 'CMake'. On Windows, NLopt is obtained through
'rwinlib' for 'R <= 4.1.x' or grabbed from the 'Rtools42 toolchain' for
SystemRequirements: cmake (for building from included source, i.e. on
macOS or on Linux if no system build, version >= 2.7.0, is
Suggests: knitr, rmarkdown, xml2, testthat (>= 3.0.0), covr

SystemRequirements: cmake (>= 3.15.0) which is used only on Linux or
macOS systems when no system build of nlopt (>= 2.7.0) can be

SystemRequirements: cmake (>= 3.2.0) which is used only on Linux or

Description: Wraps functions in 'nloptr' for easier access and use.

Wraps solver functions in 'nloptr' for easier access and use.

Title: Estimators of Non-Linear Cross-Validated Risks Optimized for
Authors@R: person("David", "Benkeser", email = "benkeser@emory.edu", role = c("aut", "cre"))
Description: Methods for obtaining improved estimates of non-linear cross-validated risks are obtained using targeted minimum loss-based estimation, estimating equations, and one-step estimation. Cross-validated area under the receiver operating characteristics curve (LeDell, Petersen, van der Laan (2015), <doi:10.1214/15-EJS1035>) and other metrics are included.
Imports: stats, utils, SuperLearner, cvAUC, ROCR, Rdpack, bde, np,
Suggests: knitr, rmarkdown, testthat, prettydoc, randomForest, ranger,