Create data structure for priorsense — create-priorsense-data • priorsense

Create a data structure that contains all required data and functions for priorsense

Usage

create_priorsense_data(x, ...)

# Default S3 method
create_priorsense_data(
  x,
  fit = NULL,
  log_prior_fn = log_prior_draws,
  log_lik_fn = log_lik_draws,
  log_prior = NULL,
  log_lik = NULL,
  log_ratio_fn = NULL,
  ...
)

# S3 method for class 'stanfit'
create_priorsense_data(x, ...)

# S3 method for class 'CmdStanFit'
create_priorsense_data(x, ...)

# S3 method for class 'draws'
create_priorsense_data(x, ...)

Arguments

x: an object for which the method is defined
...: arguments passed to methods
fit: a model fit object (only used if x is not a fit object)
log_prior_fn: function to derive log prior from object
log_lik_fn: function to derive log likelihood from object
log_prior: draws from log prior
log_lik: draws from log likelihood
log_ratio_fn: function for moment matching

Value

A priorsense_data object, which contains the data and functions to run sensitivity analyses.

Examples

x <- example_powerscale_model()
drw <- x$draws

psd <- create_priorsense_data(drw)