bernoulli_model(stan::io::var_context& context__,
std::ostream* pstream__ = 0)
: prob_grad(0) {
current_statement_begin__ = -1;
static const char* function__ = "bernoulli_model_namespace::bernoulli_model";
(void) function__; // dummy call to supress warning
size_t pos__;
(void) pos__; // dummy call to supress warning
std::vector<int> vals_i__;
std::vector<double> vals_r__;
context__.validate_dims("data initialization", "N", "int", context__.to_vec());
N = int(0);
vals_i__ = context__.vals_i("N");
pos__ = 0;
N = vals_i__[pos__++];
context__.validate_dims("data initialization", "y", "int", context__.to_vec(N));
validate_non_negative_index("y", "N", N);
y = std::vector<int>(N,int(0));
vals_i__ = context__.vals_i("y");
pos__ = 0;
size_t y_limit_0__ = N;
for (size_t i_0__ = 0; i_0__ < y_limit_0__; ++i_0__) {
y[i_0__] = vals_i__[pos__++];
}
// validate data
check_greater_or_equal(function__,"N",N,0);
for (int k0__ = 0; k0__ < N; ++k0__) {
check_greater_or_equal(function__,"y[k0__]",y[k0__],0);
check_less_or_equal(function__,"y[k0__]",y[k0__],1);
}
double DUMMY_VAR__(std::numeric_limits<double>::quiet_NaN());
(void) DUMMY_VAR__; // suppress unused var warning
// initialize transformed variables to avoid seg fault on val access
try {
} catch (const std::exception& e) {
stan::lang::rethrow_located(e,current_statement_begin__);
// Next line prevents compiler griping about no return
throw std::runtime_error("*** IF YOU SEE THIS, PLEASE REPORT A BUG ***");
}
// validate transformed data
// set parameter ranges
num_params_r__ = 0U;
param_ranges_i__.clear();
++num_params_r__;
}
void transform_inits(const stan::io::var_context& context__,
std::vector<int>& params_i__,
std::vector<double>& params_r__,
std::ostream* pstream__) const {
stan::io::writer<double> writer__(params_r__,params_i__);
size_t pos__;
(void) pos__; // dummy call to supress warning
std::vector<double> vals_r__;
std::vector<int> vals_i__;
if (!(context__.contains_r("y")))
throw std::runtime_error("variable y missing");
vals_r__ = context__.vals_r("y");
pos__ = 0U;
context__.validate_dims("initialization", "y", "double", context__.to_vec());
double y(0);
y = vals_r__[pos__++];
try {
writer__.scalar_unconstrain(y);
} catch (const std::exception& e) {
throw std::runtime_error(std::string("Error transforming variable y: ") + e.what());
}
params_r__ = writer__.data_r();
params_i__ = writer__.data_i();
}
void transform_inits(const stan::io::var_context& context__,
std::vector<int>& params_i__,
std::vector<double>& params_r__) const {
stan::io::writer<double> writer__(params_r__,params_i__);
size_t pos__;
std::vector<double> vals_r__;
std::vector<int> vals_i__;
if (!(context__.contains_r("mu")))
throw std::runtime_error("variable mu missing");
vals_r__ = context__.vals_r("mu");
pos__ = 0U;
context__.validate_dims("initialization", "mu", "double", context__.to_vec());
double mu(0);
mu = vals_r__[pos__++];
writer__.scalar_unconstrain(mu);
params_r__ = writer__.data_r();
params_i__ = writer__.data_i();
}
command_model(stan::io::var_context& context__,
std::ostream* pstream__ = 0)
: prob_grad::prob_grad(0) {
static const char* function__ = "command_model_namespace::command_model(%1%)";
(void) function__; // dummy call to supress warning
size_t pos__;
(void) pos__; // dummy call to supress warning
std::vector<int> vals_i__;
std::vector<double> vals_r__;
context__.validate_dims("data initialization", "y", "double", context__.to_vec());
y = double(0);
vals_r__ = context__.vals_r("y");
pos__ = 0;
y = vals_r__[pos__++];
// validate data
// validate transformed data
set_param_ranges();
}