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 |
| DOI: |
10.32614/CRAN.package.nlpred |
| 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:
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