has_common_support: Evaluate if observations have common support.

In tidytreatment: Tidy Methods for Bayesian Treatment Effect Models

Evaluate if observations have common support.

Description

The common support identification methods are based on Hill and Su (2013). Loosely speaker, an individuals treatment effect estimate has common support if the counter factual estimate is not too uncertain. The estimates are uncertain when the prediction is 'far away' from other observations. Removing estimates without common support can be beneficial for treat effect estimates.

Usage

has_common_support(model, treatment, method, cutoff, modeldata = NULL)

Arguments

model	A supported Bayesian model fit that can provide fits and predictions.
treatment	A character string specifying the name of the treatment variable.
method	Method to use in determining common support. 'chisq', or 'sd'.
cutoff	Cutoff point to use for method.
modeldata	Manually provide model data for some models (e.g. from BART package)

Details

Hill, Jennifer; Su, Yu-Sung. Ann. Appl. Stat. 7 (2013), no. 3, 1386–1420. doi:10.1214/13-AOAS630. https://projecteuclid.org/euclid.aoas/1380804800

Value

Tibble with a row for each observation and a column indicating whether common support exists.

tidytreatment documentation built on March 18, 2022, 6:30 p.m.