treatment_effect: Average treatment effects in a baggr model

In wwiecek/baggr: Bayesian Aggregate Treatment Effects

Average treatment effects in a baggr model

Description

The most general treatment_effect displays both hypermean and hyperSD (as a list of length 2), whereas hypermean and hypersd can be used as shorthands.

Usage

treatment_effect(
  bg,
  summary = FALSE,
  transform = NULL,
  interval = 0.95,
  message = TRUE
)

hypermean(
  bg,
  transform = NULL,
  interval = 0.95,
  message = FALSE,
  summary = TRUE
)

hypersd(bg, transform = NULL, interval = 0.95, message = FALSE, summary = TRUE)

Arguments

bg	a baggr model
summary	logical; if TRUE returns summary statistics as explained below.
transform	a transformation to apply to the result, should be an R function; (this is commonly used when calling treatment_effect from other plotting or printing functions)
interval	uncertainty interval width (numeric between 0 and 1), if summarising
message	logical; use to disable messages prompted by using with no pooling models

Functions

• treatment_effect(): A list with 2 vectors (corresponding to MCMC samples) tau (mean effect) and sigma_tau (SD). If summary=TRUE, both vectors are summarised as mean and lower/upper bounds according to interval

• hypermean(): The hypermean of a baggr model, shorthand for treatment_effect(x, s=T)[[1]]

• hypersd(): The hyper-SD of a baggr model, shorthand for treatment_effect(x, s=T)[[2]]

wwiecek/baggr documentation built on April 5, 2025, 11:26 a.m.