survtmle: Compute Targeted Minimum Loss-Based Estimates in Right-Censored Survival Settings

Targeted estimates of marginal cumulative incidence estimates in survival settings with and without competing risks, including estimators that respect bounds (Benkeser, Carone, and Gilbert (2017) <doi:10.1002/sim.7337>).

Version: 1.0.0
Depends: R (≥ 3.0.0)
Imports: SuperLearner, Matrix, plyr, tidyr, stringr, ggplot2
Suggests: testthat, knitr, rmarkdown, survival, cmprsk, tibble
Published: 2017-07-14
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

Downloads:

Reference manual: survtmle.pdf
Vignettes: Targeted Learning for Survival Analysis with Competing Risks
Package source: survtmle_1.0.0.tar.gz
Windows binaries: r-devel: survtmle_1.0.0.zip, r-release: survtmle_1.0.0.zip, r-oldrel: survtmle_1.0.0.zip
OS X El Capitan binaries: r-release: survtmle_1.0.0.tgz
OS X Mavericks binaries: r-oldrel: survtmle_1.0.0.tgz

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