Function reference • CausalGPS

CausalGPS Package

CausalGPS-package CausalGPS: The 'CausalGPS' package.

Estimate GPS values

estimate_gps(): Estimate generalized propensity score (GPS) values

Generate pseudo population

generate_pseudo_pop(): Generate pseudo population

compile_pseudo_pop(): Compile pseudo population

compute_counter_weight(): Compute counter or weight of data samples

check_covar_balance(): Check covariate balance

absolute_corr_fun(): Check covariate balance using absolute approach

absolute_weighted_corr_fun(): Check Weighted Covariate Balance Using Absolute Approach

Outcome models

estimate_erf(): Estimate Exposure Response Function

Utilities

generate_syn_data(): Generate synthetic data for the CausalGPS package

set_logger(): Set Logger Settings

get_logger(): Get Logger Settings

trim_it(): Trim a data frame or an S3 object

plot(<cgps_cw>): Extend generic plot functions for cgps_cw class

plot(<cgps_gps>): Extend generic plot functions for cgps_gps class

plot(<cgps_erf>): Extend generic plot functions for cgps_cw class

plot(<cgps_pspop>): Extend generic plot functions for cgps_pspop class

print(<cgps_gps>): Extend print function for cgps_gps object

print(<cgps_cw>): Extend print function for cgps_cw object

print(<cgps_erf>): Extend print function for cgps_erf object

print(<cgps_pspop>): Extend print function for cgps_pspop object

summary(<cgps_erf>): print summary of cgps_erf object

summary(<cgps_pspop>): print summary of cgps_pspop object

summary(<cgps_cw>): print summary of cgps_cw object

summary(<cgps_gps>): print summary of cgps_gps object

Data

synthetic_us_2010: Public data set for air pollution and health studies, case study: 2010 county-Level data set for the contiguous United States