prepare_prior: Prepare prior values for Stan models in baggr

In wwiecek/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,
  covariates,
  quantiles = c(),
  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
quantiles	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.

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