Package: GPCERF 0.2.4

Boyu Ren

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>.

Authors:Naeem Khoshnevis [aut], Boyu Ren [aut, cre], Tanujit Dey [ctb], Danielle Braun [aut]

GPCERF_0.2.4.tar.gz
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GPCERF_0.2.4.tgz(r-4.4-x86_64)GPCERF_0.2.4.tgz(r-4.4-arm64)GPCERF_0.2.4.tgz(r-4.3-x86_64)GPCERF_0.2.4.tgz(r-4.3-arm64)
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GPCERF.pdf |GPCERF.html
GPCERF/json (API)
NEWS

# Install 'GPCERF' in R:
install.packages('GPCERF', repos = c('https://nsaph-software.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/nsaph-software/gpcerf/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

6.46 score 9 stars 16 scripts 252 downloads 9 exports 61 dependencies

Last updated 7 months agofrom:e38b5a0456. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 02 2024
R-4.5-win-x86_64OKNov 02 2024
R-4.5-linux-x86_64OKNov 02 2024
R-4.4-win-x86_64OKNov 02 2024
R-4.4-mac-x86_64OKNov 02 2024
R-4.4-mac-aarch64OKNov 02 2024
R-4.3-win-x86_64OKNov 02 2024
R-4.3-mac-x86_64OKNov 02 2024
R-4.3-mac-aarch64OKNov 02 2024

Exports:compute_rl_deriv_gpcompute_rl_deriv_nncompute_w_correstimate_cerf_gpestimate_cerf_nngpestimate_gpsgenerate_synthetic_dataget_loggerset_logger

Dependencies:bitopscaToolsclicodetoolscolorspacecowplotcvAUCdata.tabledeldirfansifarverforeachgamggplot2gluegplotsgtablegtoolsisobanditeratorsjsonliteKernSmoothlabelinglatticelifecycleloggermagrittrMASSMatrixmgcvminqamnormtmunsellnlmennlspillarpkgconfigpolyclipR6RColorBrewerRcppRcppArmadilloRcppGSLRcppParallelRcppZigguratRfastrlangROCRscalesspatstat.dataspatstat.geomspatstat.univarspatstat.utilsSuperLearnertibbleutf8vctrsviridisLitewCorrwithrxgboost

A Note on Choosing Hyperparameters

Rendered fromA-Note-on-Choosing-Hyperparameters.Rmdusingknitr::rmarkdownon Nov 02 2024.

Last update: 2023-11-21
Started: 2023-11-21

Developers Guide

Rendered fromDevelopers-Guide.Rmdusingknitr::rmarkdownon Nov 02 2024.

Last update: 2023-03-15
Started: 2022-04-21

GPCERF

Rendered fromGPCERF.Rmdusingknitr::rmarkdownon Nov 02 2024.

Last update: 2023-08-11
Started: 2022-04-21

Nearest-neighbor Gaussian Processes

Rendered fromNearest-neighbor-Gaussian-Processes.Rmdusingknitr::rmarkdownon Nov 02 2024.

Last update: 2023-08-11
Started: 2022-07-05

Standard Gaussian Processes

Rendered fromStandard-Gaussian-Processes.Rmdusingknitr::rmarkdownon Nov 02 2024.

Last update: 2023-08-11
Started: 2023-03-15