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.

Usage

log_prob(unconstrained_variables, jacobian = TRUE)

Arguments

unconstrained_variables

(numeric) A vector of unconstrained parameters.

jacobian

(logical) Whether to include the log-density adjustments from constraining or unconstraining variables.

Value

A numeric scalar containing the log probability.

See also

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

Examples

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