target_distribution_from_stan_model {rmcmc}R Documentation

Construct target distribution from a BridgeStan StanModel object.

Description

Construct target distribution from a BridgeStan StanModel object.

Usage

target_distribution_from_stan_model(
  model,
  include_log_density = TRUE,
  include_generated_quantities = FALSE,
  include_transformed_parameters = FALSE
)

Arguments

model

Stan model object to use for target (posterior) distribution.

include_log_density

Whether to include an entry log_density corresponding to current log density for target distribution in values returned by trace function.

include_generated_quantities

Whether to included generated quantities in Stan model definition in values returned by trace function.

include_transformed_parameters

Whether to include transformed parameters in Stan model definition in values returned by trace function.

Value

A list with entries

Examples


model <- example_gaussian_stan_model()
target_distribution <- target_distribution_from_stan_model(model)
withr::with_seed(
  876287L, state <- chain_state(stats::rnorm(model$param_unc_num()))
)
state$log_density(target_distribution)
target_distribution$trace_function(state)


[Package rmcmc version 0.1.1 Index]