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Implements the general template for collaborative targeted maximum likelihood estimation. It also provides several commonly used C-TMLE instantiation, like the vanilla/scalable variable-selection C-TMLE (Ju et al. (2017) <doi:10.1177/0962280217729845>) and the glmnet-C-TMLE algorithm (Ju et al. (2017) <doi:10.48550/arXiv.1706.10029>).
Version: | 0.1.2 |
Depends: | R (≥ 2.14.0), SuperLearner, tmle, glmnet, stats |
Suggests: | testthat, knitr, rmarkdown, dplyr |
Published: | 2019-12-13 |
DOI: | 10.32614/CRAN.package.ctmle |
Author: | Cheng Ju [aut, cre], Susan Gruber [aut], Richard Wyss [ctb], Jenny Haggstrom [ctb], Mark van der Laan [aut, ths] |
Maintainer: | Cheng Ju <jucheng1992 at gmail.com> |
License: | GPL-2 |
NeedsCompilation: | no |
Materials: | README |
In views: | CausalInference |
CRAN checks: | ctmle results |
Reference manual: | ctmle.pdf |
Vignettes: |
CTMLE Vignette |
Package source: | ctmle_0.1.2.tar.gz |
Windows binaries: | r-devel: ctmle_0.1.2.zip, r-release: ctmle_0.1.2.zip, r-oldrel: ctmle_0.1.2.zip |
macOS binaries: | r-release (arm64): ctmle_0.1.2.tgz, r-oldrel (arm64): ctmle_0.1.2.tgz, r-release (x86_64): ctmle_0.1.2.tgz, r-oldrel (x86_64): ctmle_0.1.2.tgz |
Old sources: | ctmle 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.