Package: targeted
Type: Package
Title: Targeted Inference
Version: 0.9.0.9000
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>), one-step
        imputation (Nordland et al (2026))
        <doi:10.48550/arXiv.2606.07174>), 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 (>= 1.1.1), abind, cli, future.apply, lava (>=
        1.9.2), methods, mets (>= 1.3.12), 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, tinytest, viridisLite, xgboost (>= 3.1.2.1),
BugReports: https://github.com/kkholst/targeted/issues
URL: https://kkholst.github.io/targeted/,
        https://github.com/kkholst/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: 8.1.1
Repository: https://kkholst.r-universe.dev
Date/Publication: 2026-10-16 07:54:30 UTC
RemoteUrl: https://github.com/kkholst/targeted
RemoteRef: HEAD
RemoteSha: dffa2e3c271f78649b51cfe974adbad420f28ad8
Packaged: 2026-10-16 12:47:58 UTC; root