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BCEE (version 1.3.2)

BCEE-package: The Bayesian Causal Effect Estimation (BCEE) Algorithm

Description

A Bayesian model averaging approach to causal effect estimation based on the BCEE algorithm. Currently supports binary or continuous exposures and outcomes. For more details, see: Talbot et al. (2015) DOI:10.1515/jci-2014-0035, Talbot and Beaudoin (2023) DOI:10.1515/jci-2021-0023.

Arguments

Author

Denis Talbot, Genevieve Lefebvre, Juli Atherton, Yohann Chiu.

Maintainer: Denis Talbot denis.talbot@fmed.ulaval.ca

Details

ABCEE(X, Y, U, omega),
NBCEE(X, Y, U, omega),
GBCEE(X, Y, U, omega)

References

Talbot, D., Lefebvre, G., Atherton, J. (2015) The Bayesian causal effect estimation algorithm, Journal of Causal Inference, 3(2), 207-236.\ Talbot, D., Beaudoin, C (2022) A generalized double robust Bayesian model averaging approach to causal effect estimation with application to the Study of Osteoporotic Fractures, Journal of Causal Inference, 10(1), 335-371.

See Also

ABCEE, NBCEE, GBCEE.