Package: targeted 0.5

Klaus K. Holst

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]

targeted_0.5.tar.gz
targeted_0.5.tar.gz(r-4.5-noble)targeted_0.5.tar.gz(r-4.4-noble)
targeted_0.5.tgz(r-4.4-emscripten)targeted_0.5.tgz(r-4.3-emscripten)
targeted.pdf |targeted.html✨
targeted/json (API)
NEWS

# Install 'targeted' in R:
install.packages('targeted', repos = c('https://cran.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

4.40 score 1 packages 27 scripts 1.0k downloads 29 exports 29 dependencies

Last updated 9 months agofrom:2379926500. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 24 2024
R-4.5-linux-x86_64OKNov 24 2024

Exports:aipwaleanatecalibratecalibrationcatecate_linkcrrcvdesignexpand.listisoregwMLml_modelNBNB2nondompavaRATERATE.survriskregriskreg_censriskreg_fitriskreg_mlescoringSLsoftmaxsolve_odespecify_ode

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

Average Treatment Effects

Klaus Kähler Holst

Rendered fromate.Rmdusingknitr::rmarkdownon Nov 24 2024.

Last update: 2022-10-25
Started: 2021-10-26

Estimating a relative risk or risk difference with a binary exposure

Klaus Kähler Holst

Rendered fromriskregression.Rmdusingknitr::rmarkdownon Nov 24 2024.

Last update: 2023-12-20
Started: 2020-05-08

targeted::ode_solve: Solving Ordinary Differential Equations

Klaus Kähler Holst

Rendered fromode.Rmdusingknitr::rmarkdownon Nov 24 2024.

Last update: 2023-12-20
Started: 2023-12-20