Package: targeted 0.6

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>).

Authors:Klaus K. Holst [aut, cre], Andreas Nordland [aut]

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targeted.pdf |targeted.html✨
targeted/json (API)
NEWS

# Install 'targeted' in R:
install.packages('targeted', repos = c('https://kkholst.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/kkholst/targeted/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

causal-inferencedouble-robustestimationsemiparametric-estimationstatistics

7.29 score 9 stars 1 packages 27 scripts 935 downloads 31 exports 29 dependencies

Last updated 28 days agofrom:581e7d5e37. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 09 2024
R-4.5-win-x86_64OKOct 09 2024
R-4.5-linux-x86_64OKOct 09 2024
R-4.4-win-x86_64OKOct 09 2024
R-4.4-mac-x86_64OKOct 09 2024
R-4.4-mac-aarch64OKOct 09 2024
R-4.3-win-x86_64OKOct 09 2024
R-4.3-mac-x86_64OKOct 09 2024
R-4.3-mac-aarch64OKOct 09 2024

Exports:aipwaleanatecalibratecalibrationcatecate_linkcrrcvdesignexpand.listisoregwMLml_modelNBNB2nondomoffsetspavaRATERATE.survriskregriskreg_censriskreg_fitriskreg_mlescoringSLsoftmaxsolve_odespecialsspecify_ode

Dependencies:clicodetoolsdata.tabledigestformatRfutile.loggerfutile.optionsfuturefuture.applyglobalslambda.rlatticelavalistenvMatrixmetsmvtnormnloptrnumDerivoptimxparallellypracmaprogressrR6RcppRcppArmadilloSQUAREMsurvivaltimereg

Average Treatment Effects

Klaus Kähler Holst

Rendered fromate.Rmdusingknitr::rmarkdownon Oct 09 2024.

Last update: 2022-08-03
Started: 2021-10-21

Estimating a relative risk or risk difference with a binary exposure

Klaus Kähler Holst

Rendered fromriskregression.Rmdusingknitr::rmarkdownon Oct 09 2024.

Last update: 2022-12-03
Started: 2020-04-15

targeted::ode_solve: Solving Ordinary Differential Equations

Klaus Kähler Holst

Rendered fromode.Rmdusingknitr::rmarkdownon Oct 09 2024.

Last update: 2024-04-15
Started: 2023-12-07