Various methods for targeted and semiparametric inference including augmented inverse probability weighted (AIPW) estimators for missing data and causal inference (Bang and Robins (2005) <doi:10.1111/j.1541-0420.2005.00377.x>), variable importance and conditional average treatment effects (CATE) (van der Laan (2006) <doi:10.2202/1557-4679.1008>), estimators for risk differences and relative risks (Richardson et al. (2017) <doi:10.1080/01621459.2016.1192546>), assumption lean inference for generalized linear model parameters (Vansteelandt et al. (2022) <doi:10.1111/rssb.12504>).
| Version: | 0.5 |
| Depends: | R (≥ 4.0), lava (≥ 1.7.0) |
| Imports: | data.table, digest, futile.logger, future.apply, optimx, progressr, methods, mets, R6, Rcpp (≥ 1.0.0), survival |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | grf, mgcv, testthat (≥ 0.11), rmarkdown, scatterplot3d, SuperLearner (≥ 2.0-28), knitr, xgboost, viridisLite |
| Published: | 2024-02-22 |
| DOI: | 10.32614/CRAN.package.targeted |
| Author: | Klaus K. Holst [aut, cre], Andreas Nordland [aut] |
| Maintainer: | Klaus K. Holst <klaus at holst.it> |
| BugReports: | https://github.com/kkholst/targeted/issues |
| License: | Apache License (== 2.0) |
| NeedsCompilation: | yes |
| Materials: | README NEWS |
| In views: | MissingData |
| CRAN checks: | targeted results |
| Reference manual: | targeted.pdf |
| Vignettes: |
Average Treatment Effects targeted::ode_solve: Solving Ordinary Differential Equations Estimating a relative risk or risk difference with a binary exposure |
| Package source: | targeted_0.5.tar.gz |
| Windows binaries: | r-devel: targeted_0.5.zip, r-release: targeted_0.5.zip, r-oldrel: targeted_0.5.zip |
| macOS binaries: | r-release (arm64): targeted_0.5.tgz, r-oldrel (arm64): targeted_0.5.tgz, r-release (x86_64): targeted_0.5.tgz, r-oldrel (x86_64): targeted_0.5.tgz |
| Old sources: | targeted archive |
| Reverse imports: | polle |
| Reverse suggests: | lava |
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