`R/fit.R`

`fit-method-init_model_methods.Rd`

The `$init_model_methods()`

method compiles and initializes the
`log_prob`

, `grad_log_prob`

, `constrain_variables`

, `unconstrain_variables`

and `unconstrain_draws`

functions. These are then available as methods of
the fitted model object. This requires the additional `Rcpp`

and
`RcppEigen`

packages, which are not required for fitting models using
CmdStanR.

Note: there may be many compiler warnings emitted during compilation but these can be ignored so long as they are warnings and not errors.

`init_model_methods(seed = 0, verbose = FALSE, hessian = FALSE)`

- seed
(integer) The random seed to use when initializing the model.

- verbose
(logical) Whether to show verbose logging during compilation.

- hessian
(logical) Whether to expose the (experimental) hessian method.

```
# \dontrun{
fit_mcmc <- cmdstanr_example("logistic", method = "sample", force_recompile = TRUE)
fit_mcmc$init_model_methods()
#> Compiling additional model methods...
# }
```