targeted: Targeted Inference

Various methods for targeted and semiparametric inference including augmented inverse probability weighted estimators for missing data and causal inference (Bang and Robins (2005) <doi:10.1111/j.1541-0420.2005.00377.x>) and estimators for risk differences and relative risks (Richardson et al. (2017) <doi:10.1080/01621459.2016.1192546>).

Version: 0.2.0
Depends: R (≥ 4.0), lava (≥ 1.6.10)
Imports: data.table, digest, futile.logger, future.apply, progressr, methods, Rcpp (≥ 1.0.0), optimx
LinkingTo: Rcpp, RcppArmadillo
Suggests: grf, mgcv, testthat (≥ 0.11), rmarkdown, knitr
Published: 2021-10-26
Author: Klaus K. Holst [aut, cre]
Maintainer: Klaus K. Holst <klaus at holst.it>
BugReports: https://github.com/kkholst/targeted/issues
License: Apache License (== 2.0)
URL: https://www.targetlib.org/r/
NeedsCompilation: yes
SystemRequirements: C++11
Materials: README NEWS
CRAN checks: targeted results

Documentation:

Reference manual: targeted.pdf
Vignettes: Average Treatment Effects
Estimating a relative risk or risk difference with a binary exposure

Downloads:

Package source: targeted_0.2.0.tar.gz
Windows binaries: r-devel: targeted_0.2.0.zip, r-devel-UCRT: targeted_0.2.0.zip, r-release: targeted_0.2.0.zip, r-oldrel: targeted_0.2.0.zip
macOS binaries: r-release (arm64): targeted_0.2.0.tgz, r-release (x86_64): targeted_0.2.0.tgz, r-oldrel: targeted_0.2.0.tgz
Old sources: targeted archive

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