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CausalGPS  

Matching on Generalized Propensity Scores with Continuous Exposures
View on CRAN: Click here


Download and install CausalGPS package within the R console
Install from CRAN:
install.packages("CausalGPS")

Install from Github:
library("remotes")
install_github("cran/CausalGPS")

Install by package version:
library("remotes")
install_version("CausalGPS", "0.5.0")



Attach the package and use:
library("CausalGPS")
Maintained by
Naeem Khoshnevis
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-07-23
Latest Update: 2023-09-29
Description:
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.
How to cite:
Naeem Khoshnevis (2021). CausalGPS: Matching on Generalized Propensity Scores with Continuous Exposures. R package version 0.5.0, https://cran.r-project.org/web/packages/CausalGPS. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.2.5 (2021-07-23 11:20), 0.2.6 (2021-09-06 15:40), 0.2.7 (2022-02-07 14:00), 0.2.8 (2022-06-23 00:20), 0.2.9 (2022-12-16 16:20), 0.3.0 (2023-02-15 23:20), 0.3.1 (2023-05-16 06:56), 0.4.0 (2023-05-25 23:40), 0.4.1 (2023-09-30 01:52), 0.4.2 (2024-04-13 19:00)
Other packages that cited CausalGPS R package
View CausalGPS citation profile
Other R packages that CausalGPS depends, imports, suggests or enhances
Complete documentation for CausalGPS
Functions, R codes and Examples using the CausalGPS R package
Some associated functions: CausalGPS-package . absolute_corr_fun . absolute_weighted_corr_fun . autoplot.gpsm_erf . autoplot.gpsm_pspop . check_args . check_args_compile_pseudo_pop . check_args_estimate_gps . check_args_use_cov_transformers . check_covar_balance . check_kolmogorov_smirnov . compile_pseudo_pop . compute_closest_wgps . compute_density . compute_min_max . compute_outer . compute_resid . compute_risk . create_matching . create_weighting . estimate_gps . estimate_hat_vals . estimate_npmetric_erf . estimate_pmetric_erf . estimate_semipmetric_erf . gen_wrap_sl_lib . generate_kernel . generate_pseudo_pop . generate_syn_data . get_logger . log_system_info . matching_l1 . plot.gpsm_erf . plot.gpsm_pspop . print.gpsm_erf . print.gpsm_pspop . set_logger . smooth_erf . summary.gpsm_erf . summary.gpsm_pspop . synthetic_us_2010 . train_it . transform_it . w_fun . 
Some associated R codes: RcppExports.R . absolute_corr_fun.R . absolute_weighted_corr_fun.R . causalgps_package.R . causalgps_smooth.R . check_arguments.R . check_covar_balance.R . check_kolmogorov_smirnov.R . compile_pseudo_pop.R . compute_closest_wgps.R . compute_density.R . compute_minmax.R . compute_outer.R . compute_resid.R . compute_risk.R . create_matching.R . create_weighting.R . data.R . estimate_gps.R . estimate_hat_vals.R . estimate_npmetric_erf.R . estimate_pmetric_erf.R . estimate_semipmetric_erf.R . generate_pseudo_pop.R . generate_synthetic_data.R . generate_wrap_sl_lib.R . matching_l1.R . plot.R . print.R . set_logger.R . smooth_erf.R . train_it.R . utils.R . zzz.R .  Full CausalGPS package functions and examples
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