stan_fit(Rcpp::XPtr<rstan::stan_fit_base, Rcpp::PreserveStorage, &void Rcpp::standard_delete_finalizer<rstan::stan_fit_base>(rstan::stan_fit_base*), false>)

Rcpp::XPtr<rstan::stan_fit_base, Rcpp::PreserveStorage, &void Rcpp::standard_delete_finalizer<rstan::stan_fit_base>(rstan::stan_fit_base*), false> fit_ptr()

Rcpp::XPtr<stan::model::model_base, Rcpp::PreserveStorage, &void Rcpp::standard_delete_finalizer<stan::model::model_base>(stan::model::model_base*), false> model_ptr()

takes flags for include_tparams and include_gqs and returns a character vector of names of unknown quantities

takes no arguments and returns a list of dimensions

std::__1::vector<std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>, std::__1::allocator<std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>>> get_param_names()

takes no arguments and returns a character vector of parameter names

takes a numeric vector of parameters and returns the log of the unnormalized density with constants but without a Jacobian correction

takes a numeric vector of parameters and returns the log of the unnormalized density with constants and a Jacobian correction

takes a numeric vector of parameters and returns the log of the unnormalized density without constants and without a Jacobian correction

takes a numeric vector of parameters and returns the log of the unnormalized density without constants but with a Jacobian correction

takes no arguments and returns the MD5 hashed model

takes a list of constrained parameters and returns a numeric vector of unconstrained parameters

takes flags for include_tparams and include_gqs and returns a character vector of names of unknown quantities in the unconstrained space

std::__1::vector<double, std::__1::allocator<double>> write_array(std::__1::vector<double, std::__1::allocator<double>>, bool, bool, unsigned int, unsigned int)

takes a vector of unconstrained parameters, flags for include_tparams and include_gqs, as well as integers for id and seed and returns a vector of constrained parameters