create-priorsense-data: Create data structure for priorsense

In n-kall/priorsense: Prior Diagnostics and Sensitivity Analysis

Create data structure for priorsense

Description

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)

n-kall/priorsense documentation built on April 17, 2025, 8:38 p.m.