Package: targeted
Type: Package
Title: Targeted Inference
Version: 0.8
Authors@R: c(person(given = "Klaus K.",
                    family = "Holst",
                    role = c("aut", "cre"),
                    email = "klaus@holst.it"),
             person(given = "Benedikt",
                    family = "Sommer",
                    role = c("aut"),
                    email = "benediktsommer92@gmail.com"),
             person(given = "Andreas",
                    family = "Nordland",
                    role = c("aut"),
                    email = "andreasnordland@gmail.com"),
             person(given = "Christian B.",
                    family = "Pipper",
                    role = c("ctb"),
                    email = "cbpipper@gmail.com"))
Author: Klaus K. Holst [aut, cre], Benedikt Sommer [aut], Andreas
        Nordland [aut], Christian B. Pipper [ctb]
Maintainer: Klaus K. Holst <klaus@holst.it>
Description: 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>).
Depends: R (>= 4.1)
Imports: R6, Rcpp (>= 1.0.0), abind, cli, future.apply, lava (>=
        1.8.2), methods, mets (>= 1.3.9), quadprog, progressr, rlang,
        survival
Suggests: SuperLearner (>= 2.0-28), MASS, cmprsk, data.table, e1071,
        earth, glmnet, grf, hal9001, mgcv, nnls, optimx, polle (>=
        1.5), pracma, quarto, randomForestSRC, ranger, riskRegression,
        scatterplot3d, survSuperLearner, tinytest, viridisLite, xgboost
        (>= 3.1.2.1),
Remotes: tedwestling/survSuperLearner
BugReports: https://github.com/kkholst/targeted/issues
URL: https://kkholst.github.io/targeted/
License: Apache License (== 2.0)
LinkingTo: Rcpp, RcppArmadillo
LazyLoad: yes
NeedsCompilation: yes
ByteCompile: yes
RcppModules: riskregmodel
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
VignetteBuilder: quarto
SystemRequirements: Quarto command line tools
        (https://github.com/quarto-dev/quarto-cli).
Config/roxygen2/version: 8.0.0
Repository: https://kkholst.r-universe.dev
Date/Publication: 2026-05-07 18:21:58 UTC
RemoteUrl: https://github.com/kkholst/targeted
RemoteRef: HEAD
RemoteSha: ff494f06a8b20610d1ae2ffee9ed6806eb406908
Packaged: 2026-07-03 06:56:33 UTC; root