R/fit.R
fit-method-grad_log_prob.RdThe $grad_log_prob() method provides access to the Stan
model's log_prob function and its derivative.
grad_log_prob(unconstrained_variables, jacobian_adjustment = TRUE)(numeric) A vector of unconstrained parameters
to be passed to grad_log_prob.
(logical) Whether to include the log-density adjustments from un/constraining variables.
log_prob(), grad_log_prob(), constrain_variables(),
unconstrain_variables(), unconstrain_draws(), variable_skeleton(),
hessian()
# \dontrun{
fit_mcmc <- cmdstanr_example("logistic", method = "sample", force_recompile = TRUE)
#> Compiling Stan program...
fit_mcmc$init_model_methods()
#> Compiling additional model methods...
fit_mcmc$grad_log_prob(unconstrained_variables = c(0.5, 1.2, 1.1, 2.2))
#> [1] 1.462151 -26.619534 -25.528776 -14.286822
#> attr(,"log_prob")
#> [1] -130.2141
# }