treatment_effects.bartcFit: Get (individual) treatment effect draws from bartcFit...

In tidytreatment: Tidy Methods for Bayesian Treatment Effect Models

Get (individual) treatment effect draws from bartcFit posterior

Description

CTE = Conditional Treatment Effects (usually used to generate (C)ATE or ATT) newdata specifies the conditions, if unspecified it defaults to the original data. Assumes treated column is either a integer column of 1's (treated) and 0's (nontreated) or logical indicating treatment if TRUE.

Usage

## S3 method for class 'bartcFit'
treatment_effects(
  model,
  treatment = NULL,
  newdata = NULL,
  subset = "all",
  common_support_method,
  cutoff,
  ...
)

Arguments

model	A supported Bayesian model fit that can provide fits and predictions.
treatment	Not used. Treatment variable specified by bartcFit object.
newdata	Not used. extracts treatment effects already calculated by bartcFit object.
subset	Either "treated", "nontreated", or "all". Default is "all".
common_support_method	Either "sd", or "chisq". Default is unspecified, and no common support calculation is done.
cutoff	Cutoff for common support (if in use).
...	Arguments to be passed to tidybayes::fitted_draws typically scale for BART models.

Value

A tidy data frame (tibble) with treatment effect values.

tidytreatment documentation built on April 4, 2025, 5:11 a.m.