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>).
Package details |
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Author | Klaus K. Holst [aut, cre], Andreas Nordland [aut] |
Maintainer | Klaus K. Holst <klaus@holst.it> |
License | Apache License (== 2.0) |
Version | 0.5 |
Package repository | View on CRAN |
Installation |
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