R/fit.R
fit-method-init_model_methods.Rd
The $init_model_methods()
method compiles and initializes the
log_prob
, grad_log_prob
, constrain_variables
, unconstrain_variables
and unconstrain_draws
functions. These are then available as methods of
the fitted model object. This requires the additional Rcpp
and
RcppEigen
packages, which are not required for fitting models using
CmdStanR.
Note: there may be many compiler warnings emitted during compilation but these can be ignored so long as they are warnings and not errors.
init_model_methods(seed = 0, verbose = FALSE, hessian = FALSE)
(integer) The random seed to use when initializing the model.
(logical) Whether to show verbose logging during compilation.
(logical) Whether to expose the (experimental) hessian method.
# \dontrun{
fit_mcmc <- cmdstanr_example("logistic", method = "sample", force_recompile = TRUE)
fit_mcmc$init_model_methods()
#> Compiling additional model methods...
# }