baggr: prepare_prior – R documentation

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prepare_prior

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.

baggr

Bayesian Aggregate Treatment Effects

v0.4.0

GPL (>= 3)

Authors

Witold Wiecek [cre, aut], Rachael Meager [aut], Brice Green [ctb] (predict(), loo_compare, many visuals), Trustees of Columbia University [cph] (tools/make_cc.R)

Initial release