GPCERF-package: The 'GPCERF' package.
In GPCERF: Gaussian Processes for Estimating Causal Exposure Response Curves
GPCERF-package R Documentation
The 'GPCERF' package.
Description
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.
Author(s)
Naeem Khoshnevis
Boyu Ren
Danielle Braun
References
Ren, B., Wu, X., Braun, D., Pillai, N. and 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.
GPCERF documentation built on June 22, 2024, 11:30 a.m.
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| GPCERF-package | R Documentation |
The 'GPCERF' package.
Description
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.
Author(s)
Naeem Khoshnevis
Boyu Ren
Danielle Braun
References
Ren, B., Wu, X., Braun, D., Pillai, N. and 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.
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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