CausalGPS0.5.0 package

Matching on Generalized Propensity Scores with Continuous Exposures

absolute_weighted_corr_fun

Check Weighted Covariate Balance Using Absolute Approach

autoplot.cgps_cw

A helper function for cgps_cw object

autoplot.cgps_erf

A helper function for cgps_erf object

autoplot.cgps_gps

A helper function for cgps_gps object

autoplot.cgps_pspop

A helper function for cgps_pspop object

CausalGPS-package

The 'CausalGPS' package.

estimate_erf

Estimate Exposure Response Function

absolute_corr_fun

Check covariate balance using absolute approach

compute_outer

Computes distance on all possible combinations

compute_resid

Compute residual

compute_risk

Compute risk value

create_matching

Create pseudo population using matching casual inference approach

create_weighting

Create pseudo population using weighting casual inference approach

print.cgps_pspop

Extend print function for cgps_pspop object

set_logger

Set Logger Settings

smooth_erf

Smooth exposure response function

smooth_erf_kernsmooth

Compute smoothed erf with kernsmooth approach

smooth_erf_locpol

Compute smoothed erf with locpol approach

summary.cgps_cw

print summary of cgps_cw object

summary.cgps_erf

print summary of cgps_erf object

summary.cgps_gps

print summary of cgps_gps object

summary.cgps_pspop

print summary of cgps_pspop object

train_it

Generate Prediction Model

trim_it

Trim a data frame or an S3 object

w_fun

Helper function

check_covar_balance

Check covariate balance

check_kolmogorov_smirnov

Check Kolmogorov-Smirnov (KS) statistics

compile_pseudo_pop

Compile pseudo population

compute_closest_wgps

Find the closest data in subset to the original data

compute_counter_weight

Compute counter or weight of data samples

compute_density

Approximate density based on another vector

compute_min_max

Compute minimum and maximum

estimate_gps

Estimate generalized propensity score (GPS) values

estimate_hat_vals

Estimate hat (fitted) values

estimate_npmetric_erf

Estimate smoothed exposure-response function (ERF) for pseudo populati...

estimate_pmetric_erf

Estimate Parametric Exposure Response Function

estimate_semipmetric_erf

Estimate semi-exposure-response function (semi-ERF).

generate_kernel

Generate kernel function

generate_pseudo_pop

Generate pseudo population

generate_syn_data

Generate synthetic data for the CausalGPS package

get_logger

Get Logger Settings

log_system_info

Log system information

matching_fn

Match observations

plot.cgps_cw

Extend generic plot functions for cgps_cw class

plot.cgps_erf

Extend generic plot functions for cgps_cw class

plot.cgps_gps

Extend generic plot functions for cgps_gps class

plot.cgps_pspop

Extend generic plot functions for cgps_pspop class

print.cgps_cw

Extend print function for cgps_cw object

print.cgps_erf

Extend print function for cgps_erf object

print.cgps_gps

Extend print function for cgps_gps object

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.

  • Maintainer: Naeem Khoshnevis
  • License: GPL-3
  • Last published: 2024-06-19