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DESCRIPTION
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Package: targeted
Type: Package
Title: Targeted Inference
Version: 0.6
Date: 2024-10-30
Authors@R: c(person(given = "Klaus K.",
family = "Holst",
role = c("aut", "cre"),
email = "[email protected]"),
person(given = "Benedikt",
family = "Sommer",
role = c("aut"),
email = "[email protected]"),
person(given = "Andreas",
family = "Nordland",
role = c("aut"),
email = "[email protected]"))
Author: Klaus K. Holst [aut, cre], Benedikt Sommer [aut], Andreas Nordland [aut]
Maintainer: Klaus K. Holst <[email protected]>
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 (>= 4.0),
lava (>= 1.8.0),
survival
Imports:
cli,
data.table,
future.apply,
nnls,
optimx,
progressr,
methods,
mets,
R6,
Rcpp (>= 1.0.0),
rlang
Suggests:
cmprsk,
e1071,
glmnet,
grf,
hal9001,
mgcv,
tinytest,
rmarkdown,
scatterplot3d,
SuperLearner (>= 2.0-28),
knitr,
xgboost,
viridisLite
BugReports: https://github.com/kkholst/targeted/issues
SystemRequirements: C++14, GNU make
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)
RoxygenNote: 7.3.2
VignetteBuilder: knitr