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

cmake (>= 3.2.0) which is used only on Linux or
macOS systems when no system build of nlopt (>= 2.7.0) can be
found.

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

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

Estimators of Non-Linear Cross-Validated Risks Optimized for
Small Samples
person("David", "Benkeser", email = "benkeser@emory.edu", role = c("aut", "cre"))
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.
stats, utils, SuperLearner, cvAUC, ROCR, Rdpack, bde, np,
assertthat
knitr, rmarkdown, testthat, prettydoc, randomForest, ranger,
xgboost, glmnet,

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 (Benkeser, Petersen, van der Laan (2019), <doi:10.1080/01621459.2019.1668794>). 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.

Nonlinear Regression Modelling using Robust Methods
Non-Linear Robust package is developed to handle the problem of
outliers in nonlinear regression,    using robust statistics. It covers
classic methods in nonlinear regression as well. It has facilities to fit
models in the case of auto correlated and heterogeneous variance cases,
while it include tools to detecting outliers in nonlinear regression.
(Riazoshams H, Midi H, and Ghilagaber G, (2018, ISBN:978-1-118-73806-1).
Robust Nonlinear Regression, with Application using R, Joh Wiley and Sons.)
MASS,nlme, robcor, TSA,tseries,stats, GA, quantreg