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

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. ).


survtmle 1.1.1

  • Minor bug fixes and documentation updates.

survtmle 1.1.0

  • Adds support for the use of speedglm to fit the numerous regressions fit in the estimation procedure. Users may see warnings when speedglm fails, in which case the code defaults back to standard glm.
  • Fixes problems with the method induced, by changes in the inner working of tidyr as of tidyr v0.8.0.
  • Adds a method that computes and provides output tables for statistical inference directly from objects of class tp.survtmle. This provides information equivalent to that output by confint.survtmle.

survtmle 1.0.0

  • The first public release made available on CRAN.

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


1.1.1 by David Benkeser, a year ago

Report a bug at

Browse source code at

Authors: David Benkeser [aut, cre, cph] , Nima Hejazi [aut]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports Matrix, speedglm, SuperLearner, plyr, dplyr, tidyr, stringr, ggplot2, ggsci

Suggests testthat, knitr, rmarkdown, survival, cmprsk, tibble

See at CRAN