`R/fit.R`

`fit-method-hessian.Rd`

The `$hessian()`

method provides access to the Stan model's
`log_prob`

, its derivative, and its hessian.

`hessian(unconstrained_variables, jacobian = TRUE, jacobian_adjustment = TRUE)`

- 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.

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