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r / packages / r-bacprior

The Bayesian Adjustment for Confounding (BAC) algorithm (Wang et al., 2012) can be used to estimate the causal effect of a continuous exposure on a continuous outcome. This package provides an approximate sensitivity analysis of BAC with regards to the hyperparameter omega. BACprior also provides functions to guide the user in their choice of an appropriate omega value. The method is based on Lefebvre, Atherton and Talbot (2014).

Type Size Name Uploaded Downloads Labels
conda 49.2 kB | noarch/r-bacprior-2.1.1-r43h142f84f_0.tar.bz2  1 year and 27 days ago 20 main
conda 48.9 kB | noarch/r-bacprior-2.1-r42h142f84f_0.tar.bz2  2 years and 7 months ago 57 main
conda 48.8 kB | noarch/r-bacprior-2.0-r36h6115d3f_0.tar.bz2  4 years and 11 months ago 118 main

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