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GPCERF
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]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.GPCERF . https://github.com/NSAPH-Software/GPCERF/issues . https://github.com/NSAPH-Software/GPCERF . GPCERF citation info . GPCERF results . GPCERF.pdf . GPCERF . GPCERF_0.2.4.tar.gz . GPCERF_0.2.4.zip . GPCERF_0.2.4.zip . GPCERF_0.2.4.zip . GPCERF_0.2.4.tgz . GPCERF_0.2.4.tgz . GPCERF_0.2.4.tgz . GPCERF_0.2.4.tgz . GPCERF archive . https://CRAN.R-project.org/package=GPCERF .
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 01 May. 2025.
Previous versions and publish date:
Other packages that cited GPCERF R package
View GPCERF citation profile
Other R packages that GPCERF depends,
imports, suggests or enhances
Complete documentation for GPCERF
Functions, R codes and Examples using
the GPCERF R package
Some associated functions: GPCERF-package . autoplot.cerf_gp . autoplot.cerf_nngp . calc_ac . compute_deriv_nn . compute_deriv_weights_gp . compute_inverse . compute_m_sigma . compute_posterior_m_nn . compute_posterior_sd_nn . compute_rl_deriv_gp . compute_rl_deriv_nn . compute_sd_gp . compute_w_corr . compute_weight_gp . estimate_cerf_gp . estimate_cerf_nngp . estimate_mean_sd_nn . estimate_noise_gp . estimate_noise_nn . find_optimal_nn . generate_synthetic_data . get_logger . log_system_info . plot.cerf_gp . plot.cerf_nngp . print.cerf_gp . print.cerf_nngp . set_logger . summary.cerf_gp . summary.cerf_nngp . train_gps .
Some associated R codes: RcppExports.R . calc_ac.R . compute_deriv_nn.R . compute_deriv_weights_gp.R . compute_inverse.R . compute_m_sigma.R . compute_posterior_m_nn.R . compute_posterior_sd_nn.R . compute_rl_deriv_gp.R . compute_rl_deriv_nn.R . compute_sd_gp.R . compute_w_corr.R . compute_weight_gp.R . estimate_cerf_gp.R . estimate_cerf_nngp.R . estimate_mean_sd_nn.R . estimate_noise_gp.R . estimate_noise_nn.R . find_optimal_nn.R . generate_synthetic_data.R . gpcerf_package.R . plot.R . print.R . set_logger.R . train_GPS.R . utils.R . zzz.R . Full GPCERF package functions and examples
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