R/fit.R
fit-method-init_model_methods.RdThe $init_model_methods() method compiles and initializes the
log_prob, grad_log_prob, constrain_variables, unconstrain_variables
and unconstrain_draws functions. These are then available as methods of
the fitted model object. This requires the Rcpp package.
Note: there may be many compiler warnings emitted during compilation but these can be ignored so long as they are warnings and not errors.
init_model_methods(seed = 0, verbose = FALSE, hessian = FALSE)(integer) The random seed to use when initializing the model.
(boolean) Whether to show verbose logging during compilation.
(boolean) Whether to expose the (experimental) hessian method.
# \dontrun{
fit_mcmc <- cmdstanr_example("logistic", method = "sample")
fit_mcmc$init_model_methods()
#> Error: Model methods cannot be used with a pre-compiled Stan executable, the model must be compiled again
# }