CRAN/E | targeted

targeted

Targeted Inference

Installation

About

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).

Bug report File report

Key Metrics

Version 0.5
R ≥ 4.0
Published 2024-02-22 35 days ago
Needs compilation? yes
License Apache License (== 2.0)
CRAN checks targeted results

Downloads

Yesterday 68 +119%
Last 7 days 287 -12%
Last 30 days 1.464 -2%
Last 90 days 4.392 +16%
Last 365 days 14.574 +74%

Maintainer

Maintainer

Klaus K. Holst

klaus@holst.it

Authors

Klaus K. Holst

aut / cre

Andreas Nordland

aut

Material

README
NEWS
Reference manual
Package source

In Views

MissingData

Vignettes

Average Treatment Effects
targeted::ode_solve: Solving Ordinary Differential Equations
Estimating a relative risk or risk difference with a binary exposure

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

targeted archive

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

Suggests

grf
mgcv
testthat ≥ 0.11
rmarkdown
scatterplot3d
SuperLearner ≥ 2.0-28
knitr
xgboost
viridisLite

LinkingTo

Rcpp
RcppArmadillo

Reverse Imports

polle

Reverse Suggests

lava