CausalGPS0.5.0 package

Check Weighted Covariate Balance Using Absolute Approach

A helper function for cgps_cw object

A helper function for cgps_erf object

A helper function for cgps_gps object

A helper function for cgps_pspop object

The 'CausalGPS' package.

Estimate Exposure Response Function

Check covariate balance using absolute approach

Computes distance on all possible combinations

Compute residual

Compute risk value

Create pseudo population using matching casual inference approach

Create pseudo population using weighting casual inference approach

Extend print function for cgps_pspop object

Set Logger Settings

Smooth exposure response function

Compute smoothed erf with kernsmooth approach

Compute smoothed erf with locpol approach

print summary of cgps_cw object

print summary of cgps_erf object

print summary of cgps_gps object

print summary of cgps_pspop object

Generate Prediction Model

Trim a data frame or an S3 object

Helper function

Check covariate balance

Check Kolmogorov-Smirnov (KS) statistics

Compile pseudo population

Find the closest data in subset to the original data

Compute counter or weight of data samples

Approximate density based on another vector

Compute minimum and maximum

Estimate generalized propensity score (GPS) values

Estimate hat (fitted) values

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

Estimate Parametric Exposure Response Function

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

Generate kernel function

Generate pseudo population

Generate synthetic data for the CausalGPS package

Get Logger Settings

Log system information

Match observations

Extend generic plot functions for cgps_cw class

Extend generic plot functions for cgps_cw class

Extend generic plot functions for cgps_gps class

Extend generic plot functions for cgps_pspop class

Extend print function for cgps_cw object

Extend print function for cgps_erf object

Extend print function for cgps_gps object