Package: CausalGPS 0.5.0

Naeem Khoshnevis

CausalGPS: Matching on Generalized Propensity Scores with Continuous Exposures

Provides a framework for estimating causal effects of a continuous exposure using observational data, and implementing matching and weighting on the generalized propensity score. Wu, X., Mealli, F., Kioumourtzoglou, M.A., Dominici, F. and Braun, D., 2022. Matching on generalized propensity scores with continuous exposures. Journal of the American Statistical Association, pp.1-29.

Authors:Naeem Khoshnevis [aut, cre], Xiao Wu [aut], Danielle Braun [aut]

CausalGPS_0.5.0.tar.gz
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CausalGPS.pdf |CausalGPS.html✨
CausalGPS/json (API)
NEWS

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

Peer review:

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

Uses libs:
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:
  • synthetic_us_2010 - Public data set for air pollution and health studies, case study: 2010 county-Level data set for the contiguous United States

On CRAN:

7.67 score 24 stars 39 scripts 500 downloads 12 exports 106 dependencies

Last updated 5 months agofrom:293449c9ec. Checks:OK: 1 WARNING: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 16 2024
R-4.5-win-x86_64WARNINGNov 16 2024
R-4.5-linux-x86_64WARNINGNov 16 2024
R-4.4-win-x86_64WARNINGNov 16 2024
R-4.4-mac-x86_64WARNINGNov 16 2024
R-4.4-mac-aarch64WARNINGNov 16 2024
R-4.3-win-x86_64WARNINGNov 16 2024
R-4.3-mac-x86_64WARNINGNov 16 2024
R-4.3-mac-aarch64WARNINGNov 16 2024

Exports:absolute_corr_funabsolute_weighted_corr_funcheck_covar_balancecompile_pseudo_popcompute_counter_weightestimate_erfestimate_gpsgenerate_pseudo_popgenerate_syn_dataget_loggerset_loggertrim_it

Dependencies:admiscbitopscaretcaToolsclasscliclockcodetoolscolorspacecowplotcpp11cvAUCdata.tablediagramdigestdplyre1071Ecumefansifarverforeachfuturefuture.applygamgenericsggplot2globalsgluegnmgowergplotsgtablegtoolshardhatipredisobanditeratorsjsonlitekernlabKernSmoothlabelinglatticelavalifecyclelistenvlocpolloggerlubridatemagrittrMASSMatrixmgcvminqamnormtModelMetricsmunsellmvtnormnlmennetnnlsnumDerivparallellypbapplypillarpkgconfigplyrpolycorpROCprodlimprogressrproxypurrrqvcalcR6RColorBrewerRcppRcppArmadilloRcppEigenrecipesrelimpreshape2rlangROCRrpartscalesshapespatstat.univarspatstat.utilsSQUAREMstringistringrSuperLearnersurvivaltibbletidyrtidyselecttimechangetimeDatetransporttzdbutf8vctrsviridisLitewCorrwithrxgboost

CausalGPS

Rendered fromCausalGPS.Rmdusingknitr::rmarkdownon Nov 16 2024.

Last update: 2024-06-19
Started: 2021-05-12

Developers Guide

Rendered fromDevelopers-Guide.Rmdusingknitr::rmarkdownon Nov 16 2024.

Last update: 2023-09-30
Started: 2021-09-07

Estimating GPS

Rendered fromEstimating-GPS.Rmdusingknitr::rmarkdownon Nov 16 2024.

Last update: 2022-06-23
Started: 2021-09-07

Frequently Asked Questions

Rendered fromFrequently-Asked-Questions.Rmdusingknitr::rmarkdownon Nov 16 2024.

Last update: 2023-05-24
Started: 2022-12-16

Generate Synthetic Data

Rendered fromGenerating-Synthetic-Data.Rmdusingknitr::rmarkdownon Nov 16 2024.

Last update: 2021-09-07
Started: 2021-09-07

Generating Pseudo Population

Rendered fromGenerating-Pseudo-Population.Rmdusingknitr::rmarkdownon Nov 16 2024.

Last update: 2023-09-30
Started: 2021-09-07

Notes on SL Wrappers

Rendered fromNotes-on-SL-Wrapper.Rmdusingknitr::rmarkdownon Nov 16 2024.

Last update: 2022-06-23
Started: 2022-06-23

Outcome Models

Rendered fromOutcome-Models.Rmdusingknitr::rmarkdownon Nov 16 2024.

Last update: 2021-09-07
Started: 2021-09-07

Singularity

Rendered fromSingularity-Image.Rmdusingknitr::rmarkdownon Nov 16 2024.

Last update: 2022-12-16
Started: 2022-02-07

Testing the Package

Rendered fromTesting-the-Package.Rmdusingknitr::rmarkdownon Nov 16 2024.

Last update: 2023-04-24
Started: 2021-09-07

Readme and manuals

Help Manual

Help pageTopics
The 'CausalGPS' package.CausalGPS-package CausalGPS
Check covariate balance using absolute approachabsolute_corr_fun
Check Weighted Covariate Balance Using Absolute Approachabsolute_weighted_corr_fun
Check covariate balancecheck_covar_balance
Compile pseudo populationcompile_pseudo_pop
Compute counter or weight of data samplescompute_counter_weight
Estimate Exposure Response Functionestimate_erf
Estimate generalized propensity score (GPS) valuesestimate_gps
Generate pseudo populationgenerate_pseudo_pop
Generate synthetic data for the CausalGPS packagegenerate_syn_data
Get Logger Settingsget_logger
Extend generic plot functions for cgps_cw classplot.cgps_cw
Extend generic plot functions for cgps_cw classplot.cgps_erf
Extend generic plot functions for cgps_gps classplot.cgps_gps
Extend generic plot functions for cgps_pspop classplot.cgps_pspop
Extend generic plot functions for gpsm_erf classplot.gpsm_erf
Extend generic plot functions for gpsm_erf classplot.gpsm_pspop
Extend print function for cgps_cw objectprint.cgps_cw
Extend print function for cgps_erf objectprint.cgps_erf
Extend print function for cgps_gps objectprint.cgps_gps
Extend print function for cgps_pspop objectprint.cgps_pspop
Extend print function for gpsm_erf objectprint.gpsm_erf
Extend print function for gpsm_pspop objectprint.gpsm_pspop
Set Logger Settingsset_logger
print summary of cgps_cw objectsummary.cgps_cw
print summary of cgps_erf objectsummary.cgps_erf
print summary of cgps_gps objectsummary.cgps_gps
print summary of cgps_pspop objectsummary.cgps_pspop
print summary of gpsm_erf objectsummary.gpsm_erf
print summary of gpsm_pspop objectsummary.gpsm_pspop
Public data set for air pollution and health studies, case study: 2010 county-Level data set for the contiguous United Statessynthetic_us_2010
Trim a data frame or an S3 objecttrim_it