GPCERF
Gaussian Processes for Estimating Causal Exposure Response Curves
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 <doi:10.48550/arXiv.2105.03454>.
- Version0.2.4
- R version≥ 3.5.0
- LicenseGPL (≥ 3)
- Needs compilation?Yes
- Languageen-US
- GPCERF citation info
- Last release04/15/2024
Documentation
Team
Boyu Ren
Naeem Khoshnevis
Show author detailsRolesAuthorTanujit Dey
Show author detailsRolesContributorDanielle Braun
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- Imports12 packages
- Suggests3 packages
- Linking To2 packages