Provides a non-parametric Bayesian framework based on Gaussian process priors for estimating causal effects of a continuous exposure and detecting change points in the causal exposure response curves using observational data. Ren, B., Wu, X., Braun, D., Pillai, N., & Dominici, F.(2021). "Bayesian modeling for exposure response curve via gaussian processes: Causal effects of exposure to air pollution on health outcomes." arXiv preprint <arXiv:2105.03454>.
Package details |
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Maintainer | Boyu Ren <bren@mgb.org> |
License | GPL (>= 3) |
Version | 0.2.4 |
URL | https://github.com/NSAPH-Software/GPCERF |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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