R/fit.R
fit-method-constrain_variables.Rd
The $constrain_variables()
method transforms input parameters
to the constrained scale.
constrain_variables(
unconstrained_variables,
transformed_parameters = TRUE,
generated_quantities = TRUE
)
(numeric) A vector of unconstrained parameters to constrain.
(logical) Whether to return transformed parameters implied by newly-constrained parameters (defaults to TRUE).
(logical) Whether to return generated quantities implied by newly-constrained parameters (defaults to TRUE).
log_prob()
, grad_log_prob()
, constrain_variables()
,
unconstrain_variables()
, unconstrain_draws()
, variable_skeleton()
,
hessian()
if (FALSE) { # \dontrun{
fit_mcmc <- cmdstanr_example("logistic", method = "sample", force_recompile = TRUE)
fit_mcmc$init_model_methods()
fit_mcmc$constrain_variables(unconstrained_variables = c(0.5, 1.2, 1.1, 2.2))
} # }