R: Matching on Generalized Propensity Scores with Continuous Exposures

# Matching on Generalized Propensity Scores with Continuous Exposures

## Documentation for package ‘CausalGPS’ version 0.4.2

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

CausalGPS-package | The 'CausalGPS' package.
absolute_corr_fun | Check covariate balance using absolute approach
absolute_weighted_corr_fun | Check Weighted Covariate Balance Using Absolute Approach
CausalGPS | The 'CausalGPS' package.
check_covar_balance | Check covariate balance
compile_pseudo_pop | Compile pseudo population
estimate_gps | Estimate generalized propensity score (GPS) values
estimate_npmetric_erf | Estimate smoothed exposure-response function (ERF) for pseudo population
estimate_pmetric_erf | Estimate Parametric Exposure Response Function
estimate_semipmetric_erf | Estimate semi-exposure-response function (semi-ERF).
generate_pseudo_pop | Generate pseudo population
generate_syn_data | Generate synthetic data for the CausalGPS package
get_logger | Get Logger Settings
plot.gpsm_erf | Extend generic plot functions for gpsm_erf class
plot.gpsm_pspop | Extend generic plot functions for gpsm_erf class
print.gpsm_erf | Extend print function for gpsm_erf object
print.gpsm_pspop | Extend print function for gpsm_pspop object
set_logger | Set Logger Settings
summary.gpsm_erf | print summary of gpsm_erf object
summary.gpsm_pspop | print summary of gpsm_pspop object
synthetic_us_2010 | Public data set for air pollution and health studies, case study: 2010 county-Level data set for the contiguous United States