survtmle

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. <doi:10.1002/sim.7337>).

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Description file content

Package
survtmle
Title
Compute Targeted Minimum Loss-Based Estimates in Right-Censored Survival Settings
Version
1.1.0
Description
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. ).
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
License
MIT + file LICENSE
URL
BugReports
https://github.com/benkeser/survtmle/issues
Encoding
UTF-8
LazyData
true
VignetteBuilder
knitr
RoxygenNote
6.0.1.9000
NeedsCompilation
no
Packaged
2018-04-13 19:45:36 UTC; benkeser
Author
David Benkeser [aut, cre, cph] (), Nima Hejazi [aut] ()
Maintainer
David Benkeser
Repository
CRAN
Date/Publication
2018-04-13 20:18:00 UTC

install.packages('survtmle')

1.1.0

6 days ago

https://github.com/benkeser/survtmle

David Benkeser

MIT + file LICENSE

Depends on

R (>= 3.0.0)

Imports

Matrix, speedglm, SuperLearner, plyr, dplyr, tidyr (>= 0.8.0), stringr, ggplot2, ggsci

Suggests

testthat, knitr, rmarkdown, survival, cmprsk, tibble

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