The $log_prob() method provides access to the Stan model's log_prob function

log_prob(unconstrained_variables, jacobian_adjustment = TRUE)

Arguments

unconstrained_variables

(numeric) A vector of unconstrained parameters to be passed to log_prob.

jacobian_adjustment

(logical) Whether to include the log-density adjustments from un/constraining variables.

Examples

# \dontrun{
fit_mcmc <- cmdstanr_example("logistic", method = "sample", force_recompile = TRUE)
#> Compiling Stan program...
fit_mcmc$init_model_methods()
#> Compiling additional model methods...
fit_mcmc$log_prob(unconstrained_variables = c(0.5, 1.2, 1.1, 2.2))
#> [1] -130.2141
# }