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:

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