CIMTx

cranv1.2.0

Causal Inference for Multiple Treatments with a Binary Outcome. Different methods to conduct causal inference for multiple treatments with a binary outcome, including regression adjustment, vector matching, Bayesian additive regression trees, targeted maximum likelihood and inverse probability of treatment weighting using different generalized propensity score m

License MIT + file LICENSE0 versions1 maintainers19 deps88 weekly dl
https://CRAN.R-project.org/package=CIMTx
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Dependencies (19)
nnetBARTtwangarmdplyrMatchingmagrittrWeightIttmletidyrstatsggplot2cowplotmgcvmetRstringrSuperLearnerforeachdoParallel
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First published · 2022-06-24 08:50:36

Last updated · 2022-06-24T06:40:02+00:00