Compilation argument:
/Library/Frameworks/R.framework/Resources/bin/R CMD SHLIB file3d506553adca.cpp 2> file3d506553adca.cpp.err.txt
/usr/local/opt/llvm/bin/clang++ -std=gnu++14 -I"/Library/Frameworks/R.framework/Resources/include" -DNDEBUG -I"/Library/Frameworks/R.framework/Versions/4.0/Resources/library/Rcpp/include/" -I"/Library/Frameworks/R.framework/Versions/4.0/Resources/library/RcppEigen/include/" -I"/Library/Frameworks/R.framework/Versions/4.0/Resources/library/RcppEigen/include/unsupported" -I"/Library/Frameworks/R.framework/Versions/4.0/Resources/library/BH/include" -I"/Library/Frameworks/R.framework/Versions/4.0/Resources/library/StanHeaders/include/src/" -I"/Library/Frameworks/R.framework/Versions/4.0/Resources/library/StanHeaders/include/" -I"/Library/Frameworks/R.framework/Versions/4.0/Resources/library/rstan/include" -DEIGEN_NO_DEBUG -D_REENTRANT -DBOOST_DISABLE_ASSERTS -DBOOST_PENDING_INTEGER_LOG2_HPP -include stan/math/prim/mat/fun/Eigen.hpp -isysroot "/Applications/Xcode.app/Contents/Developer/Platforms/MacOSX.platform/Developer/SDKs/MacOSX.sdk" -isystem "/usr/local/opt/llvm/include" -isystem "/usr/local/opt/gettext/include" -std=c++11 -fPIC -Wall -g -O2 -c file3d506553adca.cpp -o file3d506553adca.o
and errors:
18 warnings and 19 errors generated.
make: *** [file3d506553adca.o] Error 1
ERROR(s) during compilation: source code errors or compiler configuration errors!
Program source:
1:
2: // includes from the plugin
3: // [[Rcpp::plugins(cpp14)]]
4:
5: // user includes
6: #define STAN__SERVICES__COMMAND_HPP#include <boost/integer/integer_log2.hpp>
7: #include <rstan/rstaninc.hpp>
8: // Code generated by Stan version 2.19.1
9:
10: #include <stan/model/model_header.hpp>
11:
12: namespace model3d5044bce955_16a540c6086086816528e4524def24d9_namespace {
13:
14: using std::istream;
15: using std::string;
16: using std::stringstream;
17: using std::vector;
18: using stan::io::dump;
19: using stan::math::lgamma;
20: using stan::model::prob_grad;
21: using namespace stan::math;
22:
23: static int current_statement_begin__;
24:
25: stan::io::program_reader prog_reader__() {
26: stan::io::program_reader reader;
27: reader.add_event(0, 0, "start", "model3d5044bce955_16a540c6086086816528e4524def24d9");
28: reader.add_event(3, 1, "end", "model3d5044bce955_16a540c6086086816528e4524def24d9");
29: return reader;
30: }
31:
32: class model3d5044bce955_16a540c6086086816528e4524def24d9 : public prob_grad {
33: private:
34: double y_mean;
35: public:
36: model3d5044bce955_16a540c6086086816528e4524def24d9(stan::io::var_context& context__,
37: std::ostream* pstream__ = 0)
38: : prob_grad(0) {
39: ctor_body(context__, 0, pstream__);
40: }
41:
42: model3d5044bce955_16a540c6086086816528e4524def24d9(stan::io::var_context& context__,
43: unsigned int random_seed__,
44: std::ostream* pstream__ = 0)
45: : prob_grad(0) {
46: ctor_body(context__, random_seed__, pstream__);
47: }
48:
49: void ctor_body(stan::io::var_context& context__,
50: unsigned int random_seed__,
51: std::ostream* pstream__) {
52: typedef double local_scalar_t__;
53:
54: boost::ecuyer1988 base_rng__ =
55: stan::services::util::create_rng(random_seed__, 0);
56: (void) base_rng__; // suppress unused var warning
57:
58: current_statement_begin__ = -1;
59:
60: static const char* function__ = "model3d5044bce955_16a540c6086086816528e4524def24d9_namespace::model3d5044bce955_16a540c6086086816528e4524def24d9";
61: (void) function__; // dummy to suppress unused var warning
62: size_t pos__;
63: (void) pos__; // dummy to suppress unused var warning
64: std::vector<int> vals_i__;
65: std::vector<double> vals_r__;
66: local_scalar_t__ DUMMY_VAR__(std::numeric_limits<double>::quiet_NaN());
67: (void) DUMMY_VAR__; // suppress unused var warning
68:
69: try {
70: // initialize data block variables from context__
71: current_statement_begin__ = 1;
72: context__.validate_dims("data initialization", "y_mean", "double", context__.to_vec());
73: y_mean = double(0);
74: vals_r__ = context__.vals_r("y_mean");
75: pos__ = 0;
76: y_mean = vals_r__[pos__++];
77:
78:
79: // initialize transformed data variables
80: // execute transformed data statements
81:
82: // validate transformed data
83:
84: // validate, set parameter ranges
85: num_params_r__ = 0U;
86: param_ranges_i__.clear();
87: current_statement_begin__ = 1;
88: num_params_r__ += 1;
89: } catch (const std::exception& e) {
90: stan::lang::rethrow_located(e, current_statement_begin__, prog_reader__());
91: // Next line prevents compiler griping about no return
92: throw std::runtime_error("*** IF YOU SEE THIS, PLEASE REPORT A BUG ***");
93: }
94: }
95:
96: ~model3d5044bce955_16a540c6086086816528e4524def24d9() { }
97:
98:
99: void transform_inits(const stan::io::var_context& context__,
100: std::vector<int>& params_i__,
101: std::vector<double>& params_r__,
102: std::ostream* pstream__) const {
103: typedef double local_scalar_t__;
104: stan::io::writer<double> writer__(params_r__, params_i__);
105: size_t pos__;
106: (void) pos__; // dummy call to supress warning
107: std::vector<double> vals_r__;
108: std::vector<int> vals_i__;
109:
110: current_statement_begin__ = 1;
111: if (!(context__.contains_r("y")))
112: stan::lang::rethrow_located(std::runtime_error(std::string("Variable y missing")), current_statement_begin__, prog_reader__());
113: vals_r__ = context__.vals_r("y");
114: pos__ = 0U;
115: context__.validate_dims("parameter initialization", "y", "double", context__.to_vec());
116: double y(0);
117: y = vals_r__[pos__++];
118: try {
119: writer__.scalar_unconstrain(y);
120: } catch (const std::exception& e) {
121: stan::lang::rethrow_located(std::runtime_error(std::string("Error transforming variable y: ") + e.what()), current_statement_begin__, prog_reader__());
122: }
123:
124: params_r__ = writer__.data_r();
125: params_i__ = writer__.data_i();
126: }
127:
128: void transform_inits(const stan::io::var_context& context,
129: Eigen::Matrix<double, Eigen::Dynamic, 1>& params_r,
130: std::ostream* pstream__) const {
131: std::vector<double> params_r_vec;
132: std::vector<int> params_i_vec;
133: transform_inits(context, params_i_vec, params_r_vec, pstream__);
134: params_r.resize(params_r_vec.size());
135: for (int i = 0; i < params_r.size(); ++i)
136: params_r(i) = params_r_vec[i];
137: }
138:
139:
140: template <bool propto__, bool jacobian__, typename T__>
141: T__ log_prob(std::vector<T__>& params_r__,
142: std::vector<int>& params_i__,
143: std::ostream* pstream__ = 0) const {
144:
145: typedef T__ local_scalar_t__;
146:
147: local_scalar_t__ DUMMY_VAR__(std::numeric_limits<double>::quiet_NaN());
148: (void) DUMMY_VAR__; // dummy to suppress unused var warning
149:
150: T__ lp__(0.0);
151: stan::math::accumulator<T__> lp_accum__;
152: try {
153: stan::io::reader<local_scalar_t__> in__(params_r__, params_i__);
154:
155: // model parameters
156: current_statement_begin__ = 1;
157: local_scalar_t__ y;
158: (void) y; // dummy to suppress unused var warning
159: if (jacobian__)
160: y = in__.scalar_constrain(lp__);
161: else
162: y = in__.scalar_constrain();
163:
164: // model body
165:
166: current_statement_begin__ = 1;
167: lp_accum__.add(normal_log<propto__>(y, y_mean, 1));
168:
169: } catch (const std::exception& e) {
170: stan::lang::rethrow_located(e, current_statement_begin__, prog_reader__());
171: // Next line prevents compiler griping about no return
172: throw std::runtime_error("*** IF YOU SEE THIS, PLEASE REPORT A BUG ***");
173: }
174:
175: lp_accum__.add(lp__);
176: return lp_accum__.sum();
177:
178: } // log_prob()
179:
180: template <bool propto, bool jacobian, typename T_>
181: T_ log_prob(Eigen::Matrix<T_,Eigen::Dynamic,1>& params_r,
182: std::ostream* pstream = 0) const {
183: std::vector<T_> vec_params_r;
184: vec_params_r.reserve(params_r.size());
185: for (int i = 0; i < params_r.size(); ++i)
186: vec_params_r.push_back(params_r(i));
187: std::vector<int> vec_params_i;
188: return log_prob<propto,jacobian,T_>(vec_params_r, vec_params_i, pstream);
189: }
190:
191:
192: void get_param_names(std::vector<std::string>& names__) const {
193: names__.resize(0);
194: names__.push_back("y");
195: }
196:
197:
198: void get_dims(std::vector<std::vector<size_t> >& dimss__) const {
199: dimss__.resize(0);
200: std::vector<size_t> dims__;
201: dims__.resize(0);
202: dimss__.push_back(dims__);
203: }
204:
205: template <typename RNG>
206: void write_array(RNG& base_rng__,
207: std::vector<double>& params_r__,
208: std::vector<int>& params_i__,
209: std::vector<double>& vars__,
210: bool include_tparams__ = true,
211: bool include_gqs__ = true,
212: std::ostream* pstream__ = 0) const {
213: typedef double local_scalar_t__;
214:
215: vars__.resize(0);
216: stan::io::reader<local_scalar_t__> in__(params_r__, params_i__);
217: static const char* function__ = "model3d5044bce955_16a540c6086086816528e4524def24d9_namespace::write_array";
218: (void) function__; // dummy to suppress unused var warning
219:
220: // read-transform, write parameters
221: double y = in__.scalar_constrain();
222: vars__.push_back(y);
223:
224: double lp__ = 0.0;
225: (void) lp__; // dummy to suppress unused var warning
226: stan::math::accumulator<double> lp_accum__;
227:
228: local_scalar_t__ DUMMY_VAR__(std::numeric_limits<double>::quiet_NaN());
229: (void) DUMMY_VAR__; // suppress unused var warning
230:
231: if (!include_tparams__ && !include_gqs__) return;
232:
233: try {
234: if (!include_gqs__ && !include_tparams__) return;
235: if (!include_gqs__) return;
236: } catch (const std::exception& e) {
237: stan::lang::rethrow_located(e, current_statement_begin__, prog_reader__());
238: // Next line prevents compiler griping about no return
239: throw std::runtime_error("*** IF YOU SEE THIS, PLEASE REPORT A BUG ***");
240: }
241: }
242:
243: template <typename RNG>
244: void write_array(RNG& base_rng,
245: Eigen::Matrix<double,Eigen::Dynamic,1>& params_r,
246: Eigen::Matrix<double,Eigen::Dynamic,1>& vars,
247: bool include_tparams = true,
248: bool include_gqs = true,
249: std::ostream* pstream = 0) const {
250: std::vector<double> params_r_vec(params_r.size());
251: for (int i = 0; i < params_r.size(); ++i)
252: params_r_vec[i] = params_r(i);
253: std::vector<double> vars_vec;
254: std::vector<int> params_i_vec;
255: write_array(base_rng, params_r_vec, params_i_vec, vars_vec, include_tparams, include_gqs, pstream);
256: vars.resize(vars_vec.size());
257: for (int i = 0; i < vars.size(); ++i)
258: vars(i) = vars_vec[i];
259: }
260:
261: static std::string model_name() {
262: return "model3d5044bce955_16a540c6086086816528e4524def24d9";
263: }
264:
265:
266: void constrained_param_names(std::vector<std::string>& param_names__,
267: bool include_tparams__ = true,
268: bool include_gqs__ = true) const {
269: std::stringstream param_name_stream__;
270: param_name_stream__.str(std::string());
271: param_name_stream__ << "y";
272: param_names__.push_back(param_name_stream__.str());
273:
274: if (!include_gqs__ && !include_tparams__) return;
275:
276: if (include_tparams__) {
277: }
278:
279: if (!include_gqs__) return;
280: }
281:
282:
283: void unconstrained_param_names(std::vector<std::string>& param_names__,
284: bool include_tparams__ = true,
285: bool include_gqs__ = true) const {
286: std::stringstream param_name_stream__;
287: param_name_stream__.str(std::string());
288: param_name_stream__ << "y";
289: param_names__.push_back(param_name_stream__.str());
290:
291: if (!include_gqs__ && !include_tparams__) return;
292:
293: if (include_tparams__) {
294: }
295:
296: if (!include_gqs__) return;
297: }
298:
299: }; // model
300:
301: } // namespace
302:
303: typedef model3d5044bce955_16a540c6086086816528e4524def24d9_namespace::model3d5044bce955_16a540c6086086816528e4524def24d9 stan_model;
304:
305: /**
306: * Define Rcpp Module to expose stan_fit's functions to R.
307: */
308: RCPP_MODULE(stan_fit4model3d5044bce955_16a540c6086086816528e4524def24d9_mod){
309: Rcpp::class_<rstan::stan_fit<model3d5044bce955_16a540c6086086816528e4524def24d9_namespace::model3d5044bce955_16a540c6086086816528e4524def24d9,
310: boost::random::ecuyer1988> >("stan_fit4model3d5044bce955_16a540c6086086816528e4524def24d9")
311: // .constructor<Rcpp::List>()
312: .constructor<SEXP, SEXP, SEXP>()
313: // .constructor<SEXP, SEXP>()
314: .method("call_sampler",
315: &rstan::stan_fit<model3d5044bce955_16a540c6086086816528e4524def24d9_namespace::model3d5044bce955_16a540c6086086816528e4524def24d9, boost::random::ecuyer1988>::call_sampler)
316: .method("param_names",
317: &rstan::stan_fit<model3d5044bce955_16a540c6086086816528e4524def24d9_namespace::model3d5044bce955_16a540c6086086816528e4524def24d9, boost::random::ecuyer1988>::param_names)
318: .method("param_names_oi",
319: &rstan::stan_fit<model3d5044bce955_16a540c6086086816528e4524def24d9_namespace::model3d5044bce955_16a540c6086086816528e4524def24d9, boost::random::ecuyer1988>::param_names_oi)
320: .method("param_fnames_oi",
321: &rstan::stan_fit<model3d5044bce955_16a540c6086086816528e4524def24d9_namespace::model3d5044bce955_16a540c6086086816528e4524def24d9, boost::random::ecuyer1988>::param_fnames_oi)
322: .method("param_dims",
323: &rstan::stan_fit<model3d5044bce955_16a540c6086086816528e4524def24d9_namespace::model3d5044bce955_16a540c6086086816528e4524def24d9, boost::random::ecuyer1988>::param_dims)
324: .method("param_dims_oi",
325: &rstan::stan_fit<model3d5044bce955_16a540c6086086816528e4524def24d9_namespace::model3d5044bce955_16a540c6086086816528e4524def24d9, boost::random::ecuyer1988>::param_dims_oi)
326: .method("update_param_oi",
327: &rstan::stan_fit<model3d5044bce955_16a540c6086086816528e4524def24d9_namespace::model3d5044bce955_16a540c6086086816528e4524def24d9, boost::random::ecuyer1988>::update_param_oi)
328: .method("param_oi_tidx",
329: &rstan::stan_fit<model3d5044bce955_16a540c6086086816528e4524def24d9_namespace::model3d5044bce955_16a540c6086086816528e4524def24d9, boost::random::ecuyer1988>::param_oi_tidx)
330: .method("grad_log_prob",
331: &rstan::stan_fit<model3d5044bce955_16a540c6086086816528e4524def24d9_namespace::model3d5044bce955_16a540c6086086816528e4524def24d9, boost::random::ecuyer1988>::grad_log_prob)
332: .method("log_prob",
333: &rstan::stan_fit<model3d5044bce955_16a540c6086086816528e4524def24d9_namespace::model3d5044bce955_16a540c6086086816528e4524def24d9, boost::random::ecuyer1988>::log_prob)
334: .method("unconstrain_pars",
335: &rstan::stan_fit<model3d5044bce955_16a540c6086086816528e4524def24d9_namespace::model3d5044bce955_16a540c6086086816528e4524def24d9, boost::random::ecuyer1988>::unconstrain_pars)
336: .method("constrain_pars",
337: &rstan::stan_fit<model3d5044bce955_16a540c6086086816528e4524def24d9_namespace::model3d5044bce955_16a540c6086086816528e4524def24d9, boost::random::ecuyer1988>::constrain_pars)
338: .method("num_pars_unconstrained",
339: &rstan::stan_fit<model3d5044bce955_16a540c6086086816528e4524def24d9_namespace::model3d5044bce955_16a540c6086086816528e4524def24d9, boost::random::ecuyer1988>::num_pars_unconstrained)
340: .method("unconstrained_param_names",
341: &rstan::stan_fit<model3d5044bce955_16a540c6086086816528e4524def24d9_namespace::model3d5044bce955_16a540c6086086816528e4524def24d9, boost::random::ecuyer1988>::unconstrained_param_names)
342: .method("constrained_param_names",
343: &rstan::stan_fit<model3d5044bce955_16a540c6086086816528e4524def24d9_namespace::model3d5044bce955_16a540c6086086816528e4524def24d9, boost::random::ecuyer1988>::constrained_param_names)
344: .method("standalone_gqs",
345: &rstan::stan_fit<model3d5044bce955_16a540c6086086816528e4524def24d9_namespace::model3d5044bce955_16a540c6086086816528e4524def24d9, boost::random::ecuyer1988>::standalone_gqs)
346: ;
347: }
348:
349: // declarations
350: extern "C" {
351: SEXP file3d506553adca( ) ;
352: }
353:
354: // definition
355:
356: SEXP file3d506553adca( ){
357: return Rcpp::wrap("16a540c6086086816528e4524def24d9");
358: }
359:
360:
Error in compileCode(f, code, language = language, verbose = verbose) :
Compilation ERROR, function(s)/method(s) not created! In file included from <built-in>:1:
In file included from /Library/Frameworks/R.framework/Versions/4.0/Resources/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/4.0/Resources/library/RcppEigen/include/Eigen/Dense:1:
In file included from /Library/Frameworks/R.framework/Versions/4.0/Resources/library/RcppEigen/include/Eigen/Core:535:
/Library/Frameworks/R.framework/Versions/4.0/Resources/library/RcppEigen/include/Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas]
#pragma clang diagnostic pop
^
In file included from <built-in>:1:
In file included from /Library/Frameworks/R.framework/Versions/4.0/Resources/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/4.