prepare_prior: Prepare prior values for Stan models in baggr

In baggr: Bayesian Aggregate Treatment Effects

Prepare prior values for Stan models in baggr

Description

This is an internal function called by baggr(). You can use it for debugging or to run modified models. It extracts and prepares priors passed by the user. Then, if any necessary priors are missing, it sets them automatically and notifies user about these automatic choices.

Usage

prepare_prior(
  prior,
  data,
  stan_data,
  model,
  pooling = c("partial", "none", "full"),
  covariates = c(),
  selection = NULL,
  silent = FALSE
)

Arguments

prior	prior argument passed from baggr() call
data	data another argument in baggr()
stan_data	list of inputs that will be used by sampler this is already pre-obtained through convert_inputs()
model	same as in baggr()
pooling	same as in baggr()
covariates	same as in baggr()
selection	same as in baggr()
silent	same as in baggr()

Value

A named list with prior values that can be appended to stan_data and passed to a Stan model.

baggr documentation built on June 16, 2026, 9:06 a.m.