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-oldrel (arm64): nlpred_1.0.1.tgz, r-release (x86_64): nlpred_1.0.1.tgz, r-oldrel (x86_64): nlpred_1.0.1.tgz
Old sources:	nlpred archive

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