fit-method-init_model_methods: Compile additional methods for accessing the model...

In stan-dev/cmdstanr: R Interface to 'CmdStan'

Compile additional methods for accessing the model log-probability function and parameter constraining and unconstraining.

Description

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 package, 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.

Usage

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

Arguments

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.

See Also

log_prob(), grad_log_prob(), constrain_variables(), unconstrain_variables(), unconstrain_draws(), variable_skeleton(), hessian()

Examples

## Not run: 
fit_mcmc <- cmdstanr_example("logistic", method = "sample", force_recompile = TRUE)
fit_mcmc$init_model_methods()

## End(Not run)

stan-dev/cmdstanr documentation built on May 1, 2024, 7:17 a.m.