R/fit.R
fit-method-constrain_variables.RdThe $constrain_variables() method transforms input parameters to
the constrained scale
constrain_variables(
unconstrained_variables,
transformed_parameters = TRUE,
generated_quantities = TRUE
)(numeric) A vector of unconstrained parameters to constrain.
(boolean) Whether to return transformed parameters implied by newly-constrained parameters (defaults to TRUE).
(boolean) Whether to return generated quantities implied by newly-constrained parameters (defaults to TRUE).
log_prob(), grad_log_prob(), constrain_variables(),
unconstrain_variables(), unconstrain_draws(), variable_skeleton(),
hessian()
# \dontrun{
fit_mcmc <- cmdstanr_example("logistic", method = "sample")
fit_mcmc$init_model_methods()
#> Error: Model methods cannot be used with a pre-compiled Stan executable, the model must be compiled again
fit_mcmc$constrain_variables(unconstrained_variables = c(0.5, 1.2, 1.1, 2.2))
#> Error: The method has not been compiled, please call `init_model_methods()` first
# }