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targeted
View on CRAN: Click
here
Download and install targeted package within the R console
Install from CRAN:
install.packages("targeted")
Install from Github:
library("remotes")
install_github("cran/targeted")
Install by package version:
library("remotes")
install_version("targeted", "0.5")
Attach the package and use:
library("targeted")
Maintained by
Klaus K. Holst
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-05-08
Latest Update: 2022-10-25
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>).
How to cite:
Klaus K. Holst (2020). targeted: Targeted Inference. R package version 0.5, https://cran.r-project.org/web/packages/targeted. Accessed 22 Dec. 2024.
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Other R packages that targeted depends,
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Complete documentation for targeted
Functions, R codes and Examples using
the targeted R package
Some associated functions: ML . NB-class . NB . RATE . RATE.surv . SL . Scoring . aipw . alean . ate . calibration-class . calibration . cate . cate_link . cross_validated-class . crr . cv . design . expand.list . ml_model . nondom . pava . predict.NB . predict.density . riskreg . riskreg_cens . softmax . solve_ode . specify_ode . targeted-class . targeted-package .
Some associated R codes: NB-methods.R . NB.R . NB2.R . RATE.R . RcppExports.R . SL.R . aipw.R . alean.R . ate.R . calibration.R . cate.R . cumhaz.R . cv.R . design.R . expand.list.R . intsurv.R . ml_model.R . nondom.R . ode.R . pava.R . predict.NB.R . predict.density.R . procform.R . riskreg.R . riskreg_cens.R . scoring.R . softmax.R . targeted-methods.R . targeted-package.R . utils.R . Full targeted package functions and examples
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