Calculate the log-probability given a provided vector of unconstrained parameters.

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

log_prob(unconstrained_variables, jacobian = TRUE, jacobian_adjustment = NULL)

Arguments

unconstrained_variables

(numeric) A vector of unconstrained parameters.

jacobian

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

jacobian_adjustment

Deprecated. Please use jacobian instead.

See also

log_prob(), grad_log_prob(), constrain_variables(), unconstrain_variables(), unconstrain_draws(), variable_skeleton(), hessian()

Examples

if (FALSE) { # \dontrun{
fit_mcmc <- cmdstanr_example("logistic", method = "sample", force_recompile = TRUE)
fit_mcmc$init_model_methods()
fit_mcmc$log_prob(unconstrained_variables = c(0.5, 1.2, 1.1, 2.2))
} # }