[aut, cre, cph],
Nima Hejazi [aut]Targeted estimates of marginal cumulative incidence in survival settings with and without competing risks, including estimators that respect bounds (Benkeser, Carone, and Gilbert. Statistics in Medicine, 2017. <doi:10.1002/sim.7337>).
| Version: | 1.1.1 |
| Depends: | R (≥ 3.0.0) |
| Imports: | Matrix, speedglm, SuperLearner, plyr, dplyr, tidyr (≥ 0.8.0), stringr, ggplot2, ggsci |
| Suggests: | testthat, knitr, rmarkdown, survival, cmprsk, tibble |
| Published: | 2019-04-16 |
| Author: | David Benkeser
[aut, cre, cph],
Nima Hejazi [aut] |
| Maintainer: | David Benkeser <benkeser at emory.edu> |
| BugReports: | https://github.com/benkeser/survtmle/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/benkeser/survtmle |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | survtmle results |
| Reference manual: | survtmle.pdf |
| Vignettes: |
Targeted Learning for Survival Analysis with Competing Risks |
| Package source: | survtmle_1.1.1.tar.gz |
| Windows binaries: | r-devel: survtmle_1.1.1.zip, r-release: survtmle_1.1.1.zip, r-oldrel: survtmle_1.1.1.zip |
| macOS binaries: | r-release: survtmle_1.1.1.tgz, r-oldrel: survtmle_1.1.1.tgz |
| Old sources: | survtmle archive |
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