treatment_effects: Get (individual) treatment effect draws from posterior

In tidytreatment: Tidy Methods for Bayesian Treatment Effect Models

Get (individual) treatment effect draws from 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

treatment_effects(
  model,
  treatment,
  newdata,
  subset = "all",
  common_support_method,
  cutoff,
  ...
)

Arguments

model	A supported Bayesian model fit that can provide fits and predictions.
treatment	A character string specifying the name of the treatment variable.
newdata	Data frame to generate fitted values from. If omitted, defaults to the data used to fit the model.
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 March 18, 2022, 6:30 p.m.