nlpred: Estimators of Non-Linear Cross-Validated Risks Optimized for Small Samples

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.

Version: 1.0.1
Depends: R (≥ 3.2.0), data.table
Imports: stats, utils, SuperLearner, cvAUC, ROCR, Rdpack, bde, np, assertthat
Suggests: knitr, rmarkdown, testthat, prettydoc, randomForest, ranger, xgboost, glmnet
Published: 2020-02-23
Author: David Benkeser [aut, cre]
Maintainer: David Benkeser <benkeser at emory.edu>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README NEWS
CRAN checks: nlpred results

Documentation:

Reference manual: nlpred.pdf
Vignettes: nlpred: Small-sample optimized estimators of nonlinear risks

Downloads:

Package source: nlpred_1.0.1.tar.gz
Windows binaries: r-devel: nlpred_1.0.1.zip, r-release: nlpred_1.0.1.zip, r-oldrel: nlpred_1.0.1.zip
macOS binaries: r-release (arm64): nlpred_1.0.1.tgz, r-release (x86_64): nlpred_1.0.1.tgz, r-oldrel: nlpred_1.0.1.tgz
Old sources: nlpred archive

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