This package is considered a duplicate. The official version of this package is found at:https://nsaph-software.r-universe.dev/CausalGPS

Package: CausalGPS 0.5.1

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_0.5.1.tar.gz
CausalGPS_0.5.1.tar.gz(r-4.7-arm64)CausalGPS_0.5.1.tar.gz(r-4.7-x86_64)CausalGPS_0.5.1.tar.gz(r-4.6-arm64)CausalGPS_0.5.1.tar.gz(r-4.6-x86_64)
CausalGPS_0.5.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
CausalGPS/json (API)
NEWS

# Install 'CausalGPS' in R:

install.packages('CausalGPS', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

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:

cpp openmp

5.20 score 7 stars 45 scripts 395 downloads 12 exports 104 dependencies

Last updated from:3a837d66e5. Checks:6 OK. Indexed: no.

Target	Result	Time
linux-devel-arm64	OK	352
linux-devel-x86_64	OK	201
source / vignettes	OK	239
linux-release-arm64	OK	250
linux-release-x86_64	OK	202
wasm-release	OK	150

Exports:absolute_corr_fun absolute_weighted_corr_fun check_covar_balance compile_pseudo_pop compute_counter_weight estimate_erf estimate_gps generate_pseudo_pop generate_syn_data get_logger set_logger trim_it

Dependencies:admisc bitops caret caTools class cli clock codetools cowplot cpp11 cvAUC data.table diagram digest dplyr e1071 Ecume farver foreach future future.apply gam generics ggplot2 globals glue gnm gower gplots gtable gtools hardhat ipred isoband iterators jsonlite kernlab KernSmooth labeling lattice lava lifecycle listenv locpol logger lubridate magrittr MASS Matrix minqa mnormt ModelMetrics mvtnorm nlme nnet nnls numDeriv parallelly pbapply pillar pkgconfig plyr polycor pROC prodlim progressr proxy purrr qvcalc R6 RColorBrewer Rcpp RcppArmadillo RcppEigen recipes relimp reshape2 rlang ROCR rpart S7 scales shape sparsevctrs spatstat.univar spatstat.utils SQUAREM stringi stringr SuperLearner survival tibble tidyr tidyselect timechange timeDate transport tzdb utf8 vctrs viridisLite wCorr withr xgboost

CausalGPS

Rendered fromCausalGPS.Rmdusingknitr::rmarkdownon Jun 10 2026.

Last update: 2024-06-20
Started: 2021-07-23

Developers Guide

Rendered fromDevelopers-Guide.Rmdusingknitr::rmarkdownon Jun 10 2026.

Last update: 2023-09-30
Started: 2021-09-06

Estimating GPS

Rendered fromEstimating-GPS.Rmdusingknitr::rmarkdownon Jun 10 2026.

Last update: 2022-06-22
Started: 2021-09-06

Frequently Asked Questions

Rendered fromFrequently-Asked-Questions.Rmdusingknitr::rmarkdownon Jun 10 2026.

Last update: 2023-05-25
Started: 2022-12-16

Generate Synthetic Data

Rendered fromGenerating-Synthetic-Data.Rmdusingknitr::rmarkdownon Jun 10 2026.

Last update: 2021-09-06
Started: 2021-09-06

Generating Pseudo Population

Rendered fromGenerating-Pseudo-Population.Rmdusingknitr::rmarkdownon Jun 10 2026.

Last update: 2023-09-30
Started: 2021-09-06

Notes on SL Wrappers

Rendered fromNotes-on-SL-Wrapper.Rmdusingknitr::rmarkdownon Jun 10 2026.

Last update: 2022-06-22
Started: 2022-06-22

Outcome Models

Rendered fromOutcome-Models.Rmdusingknitr::rmarkdownon Jun 10 2026.

Last update: 2021-09-06
Started: 2021-09-06

Singularity

Rendered fromSingularity-Image.Rmdusingknitr::rmarkdownon Jun 10 2026.

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

Testing the Package

Rendered fromTesting-the-Package.Rmdusingknitr::rmarkdownon Jun 10 2026.

Last update: 2023-05-25
Started: 2021-09-06

Citation

Readme and manuals

Help Manual

Help page	Topics
The 'CausalGPS' package.	CausalGPS-package CausalGPS
Check covariate balance using absolute approach	absolute_corr_fun
Check Weighted Covariate Balance Using Absolute Approach	absolute_weighted_corr_fun
Check covariate balance	check_covar_balance
Compile pseudo population	compile_pseudo_pop
Compute counter or weight of data samples	compute_counter_weight
Estimate Exposure Response Function	estimate_erf
Estimate generalized propensity score (GPS) values	estimate_gps
Generate pseudo population	generate_pseudo_pop
Generate synthetic data for the CausalGPS package	generate_syn_data
Get Logger Settings	get_logger
Extend generic plot functions for cgps_cw class	plot.cgps_cw
Extend generic plot functions for cgps_cw class	plot.cgps_erf
Extend generic plot functions for cgps_gps class	plot.cgps_gps
Extend generic plot functions for cgps_pspop class	plot.cgps_pspop
Extend print function for cgps_cw object	print.cgps_cw
Extend print function for cgps_erf object	print.cgps_erf
Extend print function for cgps_gps object	print.cgps_gps
Extend print function for cgps_pspop object	print.cgps_pspop
Set Logger Settings	set_logger
print summary of cgps_cw object	summary.cgps_cw
print summary of cgps_erf object	summary.cgps_erf
print summary of cgps_gps object	summary.cgps_gps
print summary of cgps_pspop object	summary.cgps_pspop
Public data set for air pollution and health studies, case study: 2010 county-Level data set for the contiguous United States	synthetic_us_2010
Trim a data frame or an S3 object	trim_it