Targeted Maximum Likelihood Estimation (TMLE) of treatment/censoring specific mean outcome or marginal structural model for point-treatment and longitudinal data.
| Version: | 1.2-0 |
| Depends: | R (≥ 3.1.0) |
| Imports: | Matrix, matrixStats, speedglm |
| Suggests: | SuperLearner, testthat, tmle, knitr, rmarkdown, nnls, arm |
| Published: | 2020-03-13 |
| Author: | Joshua Schwab [aut, cre], Samuel Lendle [aut], Maya Petersen [aut], Mark van der Laan [aut], Susan Gruber [ctb] |
| Maintainer: | Joshua Schwab <jschwab77 at berkeley.edu> |
| BugReports: | https://github.com/joshuaschwab/ltmle/issues |
| License: | GPL-2 |
| URL: | https://github.com/joshuaschwab/ltmle |
| NeedsCompilation: | no |
| Citation: | ltmle citation info |
| Materials: | README NEWS |
| In views: | CausalInference |
| CRAN checks: | ltmle results |
| Reference manual: | ltmle.pdf |
| Vignettes: |
Deterministic Functions ltmle package overview Marginal Structural Models - ltmleMSM() Introduction to ltmle() |
| Package source: | ltmle_1.2-0.tar.gz |
| Windows binaries: | r-devel: ltmle_1.2-0.zip, r-release: ltmle_1.2-0.zip, r-oldrel: ltmle_1.2-0.zip |
| macOS binaries: | r-release (arm64): ltmle_1.2-0.tgz, r-oldrel (arm64): ltmle_1.2-0.tgz, r-release (x86_64): ltmle_1.2-0.tgz, r-oldrel (x86_64): ltmle_1.2-0.tgz |
| Old sources: | ltmle archive |
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