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targeted: Targeted Inference

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

Documentation:

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

Downloads:

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 dependencies:

Reverse imports: polle
Reverse suggests: lava

Linking:

Please use the canonical form https://CRAN.R-project.org/package=targeted to link to this page.

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.
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