Create data structure for 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,
  log_prior_name = "lprior",
  log_lik_name = "log_lik",
  ...
)

# 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, ...)

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

Arguments

x

an object for which the method is defined or an object coercible to a posterior::draws object

...

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 x or fit (if not NULL)

log_lik_fn

function to derive log likelihood from x or fit (if not NULL)

log_prior

draws object from log prior, must be numeric and not include NA, NaN, Inf, -Inf or be constant

log_lik

draws from log likelihood, must be numeric and not include NA, NaN, Inf, -Inf or be constant

log_ratio_fn

function for moment matching

log_prior_name

Character (case sensitive) specifying name of the variable storing the log prior evaluations

log_lik_name

Character (case sensitive) specifying name of the variable storing the log likelihood evaluations

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)