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 ).

Methods for targeted and semiparametric inference.

See also

Useful links:

• https://kkholst.github.io/targeted/

• Report bugs at https://github.com/kkholst/targeted/issues

Author

Maintainer: Klaus K. Holst klaus@holst.it

Authors:

• Andreas Nordland andreasnordland@gmail.com

Klaus K. Holst (Maintainer) klaus@holst.it

Examples

if (FALSE) { # \dontrun{
example(riskreg)
example(cate)
example(ate)
example(calibration)
} # }