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GPCERF  

Gaussian Processes for Estimating Causal Exposure Response Curves
View on CRAN: Click here


Download and install GPCERF package within the R console
Install from CRAN:
install.packages("GPCERF")

Install from Github:
library("remotes")
install_github("cran/GPCERF")

Install by package version:
library("remotes")
install_version("GPCERF", "0.2.4")



Attach the package and use:
library("GPCERF")
Maintained by
Boyu Ren
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-07-02
Latest Update: 2024-03-02
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. 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 .
How to cite:
Boyu Ren (2022). GPCERF: Gaussian Processes for Estimating Causal Exposure Response Curves. R package version 0.2.4, https://cran.r-project.org/web/packages/GPCERF. Accessed 21 Nov. 2024.
Previous versions and publish date:
0.1.0 (2022-07-02 11:50), 0.2.0 (2023-01-22 09:30), 0.2.1 (2023-03-15 13:50), 0.2.2 (2024-02-17 00:40), 0.2.3 (2024-03-02 08:12)
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Complete documentation for GPCERF
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