nlpred: Estimators of Non-Linear Cross-Validated Risks Optimized for Small Samples (original) (raw)
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 |
| License: | MIT + file |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | nlpred results |
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