fixed_effects: Effects of covariates on outcome in baggr models

In baggr: Bayesian Aggregate Treatment Effects

Effects of covariates on outcome in baggr models

Description

Effects of covariates on outcome in baggr models

Usage

fixed_effects(bg, summary = FALSE, transform = NULL, interval = 0.95)

Arguments

bg	a baggr model
summary	logical; if TRUE returns summary statistic instead of all MCMC samples
transform	a transformation (R function) to apply to the result; (this is commonly used when calling from other plotting or printing functions)
interval	uncertainty interval width (numeric between 0 and 1), if summary=TRUE

Value

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

See Also

treatment_effect for overall treatment effect across groups, group_effects for effects within each group, effect_draw and effect_plot for predicted treatment effect in new group

baggr documentation built on March 31, 2023, 10:02 p.m.