boyuren158/GP-CERF: 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 <arXiv:2105.03454>.

Getting started

Package details

MaintainerBoyu Ren <bren@mgb.org>
LicenseGPL (>= 3)
Version0.2.4
URL https://github.com/NSAPH-Software/GPCERF
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("boyuren158/GP-CERF")
boyuren158/GP-CERF documentation built on April 14, 2024, 10:25 a.m.