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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 |
| Reference manual: | nlpred.pdf |
| Vignettes: |
nlpred: Small-sample optimized estimators of nonlinear risks |
| 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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.