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.
Version: | 1.0.0 |
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: | 2019-09-27 |
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 |
Reference manual: | nlpred.pdf |
Vignettes: |
nlpred: Small-sample optimized estimators of nonlinear risks |
Package source: | nlpred_1.0.0.tar.gz |
Windows binaries: | r-devel: nlpred_1.0.0.zip, r-devel-gcc8: nlpred_1.0.0.zip, r-release: nlpred_1.0.0.zip, r-oldrel: nlpred_1.0.0.zip |
OS X binaries: | r-release: nlpred_1.0.0.tgz, r-oldrel: nlpred_1.0.0.tgz |
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