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stan_cpp_compilation_error
1:
2: // includes from the plugin
3: // [[Rcpp::plugins(cpp14)]]
4:
5: // user includes
6: #define STAN__SERVICES__COMMAND_HPP// Code generated by Stan version 2.19.1
7:
8: #include <stan/model/model_header.hpp>
9:
10: namespace model3bf038e124f5_att_model1_namespace {
11:
12: using std::istream;
13: using std::string;
14: using std::stringstream;
15: using std::vector;
16: using stan::io::dump;
17: using stan::math::lgamma;
18: using stan::model::prob_grad;
19: using namespace stan::math;
20:
21: static int current_statement_begin__;
22:
23: stan::io::program_reader prog_reader__() {
24: stan::io::program_reader reader;
25: reader.add_event(0, 0, "start", "model3bf038e124f5_att_model1");
26: reader.add_event(176, 174, "end", "model3bf038e124f5_att_model1");
27: return reader;
28: }
29:
30: template <typename T0__, typename T1__, typename T2__, typename T3__>
31: typename boost::math::tools::promote_args<T0__, T1__, T2__, T3__>::type
32: wt_integrand(const T0__& t,
33: const T1__& tc,
34: const std::vector<T2__>& theta,
35: const std::vector<T3__>& x_r,
36: const std::vector<int>& x_i, std::ostream* pstream__) {
37: typedef typename boost::math::tools::promote_args<T0__, T1__, T2__, T3__>::type local_scalar_t__;
38: typedef local_scalar_t__ fun_return_scalar_t__;
39: const static bool propto__ = true;
40: (void) propto__;
41: local_scalar_t__ DUMMY_VAR__(std::numeric_limits<double>::quiet_NaN());
42: (void) DUMMY_VAR__; // suppress unused var warning
43:
44: int current_statement_begin__ = -1;
45: try {
46: {
47: current_statement_begin__ = 5;
48: local_scalar_t__ it_a(DUMMY_VAR__);
49: (void) it_a; // dummy to suppress unused var warning
50: stan::math::initialize(it_a, DUMMY_VAR__);
51: stan::math::fill(it_a, DUMMY_VAR__);
52: stan::math::assign(it_a,get_base1(theta, 1, "theta", 1));
53:
54: current_statement_begin__ = 6;
55: local_scalar_t__ it_b(DUMMY_VAR__);
56: (void) it_b; // dummy to suppress unused var warning
57: stan::math::initialize(it_b, DUMMY_VAR__);
58: stan::math::fill(it_b, DUMMY_VAR__);
59: stan::math::assign(it_b,get_base1(theta, 2, "theta", 1));
60:
61: current_statement_begin__ = 7;
62: local_scalar_t__ ot_a(DUMMY_VAR__);
63: (void) ot_a; // dummy to suppress unused var warning
64: stan::math::initialize(ot_a, DUMMY_VAR__);
65: stan::math::fill(ot_a, DUMMY_VAR__);
66: stan::math::assign(ot_a,get_base1(theta, 3, "theta", 1));
67:
68: current_statement_begin__ = 8;
69: local_scalar_t__ ot_b(DUMMY_VAR__);
70: (void) ot_b; // dummy to suppress unused var warning
71: stan::math::initialize(ot_b, DUMMY_VAR__);
72: stan::math::fill(ot_b, DUMMY_VAR__);
73: stan::math::assign(ot_b,get_base1(theta, 4, "theta", 1));
74:
75: current_statement_begin__ = 9;
76: local_scalar_t__ T(DUMMY_VAR__);
77: (void) T; // dummy to suppress unused var warning
78: stan::math::initialize(T, DUMMY_VAR__);
79: stan::math::fill(T, DUMMY_VAR__);
80: stan::math::assign(T,get_base1(theta, 5, "theta", 1));
81:
82: current_statement_begin__ = 10;
83: local_scalar_t__ p_c(DUMMY_VAR__);
84: (void) p_c; // dummy to suppress unused var warning
85: stan::math::initialize(p_c, DUMMY_VAR__);
86: stan::math::fill(p_c, DUMMY_VAR__);
87: stan::math::assign(p_c,get_base1(theta, 6, "theta", 1));
88:
89: current_statement_begin__ = 11;
90: local_scalar_t__ p_d(DUMMY_VAR__);
91: (void) p_d; // dummy to suppress unused var warning
92: stan::math::initialize(p_d, DUMMY_VAR__);
93: stan::math::fill(p_d, DUMMY_VAR__);
94: stan::math::assign(p_d,get_base1(theta, 7, "theta", 1));
95:
96: current_statement_begin__ = 12;
97: local_scalar_t__ likelihood(DUMMY_VAR__);
98: (void) likelihood; // dummy to suppress unused var warning
99: stan::math::initialize(likelihood, DUMMY_VAR__);
100: stan::math::fill(likelihood, DUMMY_VAR__);
101:
102: current_statement_begin__ = 13;
103: local_scalar_t__ I(DUMMY_VAR__);
104: (void) I; // dummy to suppress unused var warning
105: stan::math::initialize(I, DUMMY_VAR__);
106: stan::math::fill(I, DUMMY_VAR__);
107:
108: current_statement_begin__ = 14;
109: local_scalar_t__ o(DUMMY_VAR__);
110: (void) o; // dummy to suppress unused var warning
111: stan::math::initialize(o, DUMMY_VAR__);
112: stan::math::fill(o, DUMMY_VAR__);
113:
114:
115: current_statement_begin__ = 15;
116: stan::math::assign(I, gamma_cdf_log((T - t), it_a, it_b));
117: current_statement_begin__ = 16;
118: stan::math::assign(o, gamma_log(t, ot_a, ot_b));
119: current_statement_begin__ = 17;
120: stan::math::assign(likelihood, (((o + p_c) + log_diff_exp(0, p_c)) + log_sum_exp(log_diff_exp(0, I), (I + log_diff_exp(0, p_d)))));
121: current_statement_begin__ = 18;
122: return stan::math::promote_scalar<fun_return_scalar_t__>(likelihood);
123: }
124: } catch (const std::exception& e) {
125: stan::lang::rethrow_located(e, current_statement_begin__, prog_reader__());
126: // Next line prevents compiler griping about no return
127: throw std::runtime_error("*** IF YOU SEE THIS, PLEASE REPORT A BUG ***");
128: }
129: }
130:
131:
132: struct wt_integrand_functor__ {
133: template <typename T0__, typename T1__, typename T2__, typename T3__>
134: typename boost::math::tools::promote_args<T0__, T1__, T2__, T3__>::type
135: operator()(const T0__& t,
136: const T1__& tc,
137: const std::vector<T2__>& theta,
138: const std::vector<T3__>& x_r,
139: const std::vector<int>& x_i, std::ostream* pstream__) const {
140: return wt_integrand(t, tc, theta, x_r, x_i, pstream__);
141: }
142: };
143:
144: template <typename T0__, typename T1__, typename T2__, typename T3__, typename T4__, typename T5__, typename T6__>
145: typename boost::math::tools::promote_args<T0__, T1__, T2__, T3__, typename boost::math::tools::promote_args<T4__, T5__, T6__>::type>::type
146: wt_prob(const T0__& T,
147: const T1__& it_a,
148: const T2__& it_b,
149: const T3__& ot_a,
150: const T4__& ot_b,
151: const T5__& c,
152: const T6__& d, std::ostream* pstream__) {
153: typedef typename boost::math::tools::promote_args<T0__, T1__, T2__, T3__, typename boost::math::tools::promote_args<T4__, T5__, T6__>::type>::type local_scalar_t__;
154: typedef local_scalar_t__ fun_return_scalar_t__;
155: const static bool propto__ = true;
156: (void) propto__;
157: local_scalar_t__ DUMMY_VAR__(std::numeric_limits<double>::quiet_NaN());
158: (void) DUMMY_VAR__; // suppress unused var warning
159:
160: int current_statement_begin__ = -1;
161: try {
162: {
163: current_statement_begin__ = 22;
164: local_scalar_t__ NO(DUMMY_VAR__);
165: (void) NO; // dummy to suppress unused var warning
166: stan::math::initialize(NO, DUMMY_VAR__);
167: stan::math::fill(NO, DUMMY_VAR__);
168: stan::math::assign(NO,log_diff_exp(0, gamma_cdf_log(T, ot_a, ot_b)));
169:
170:
171: current_statement_begin__ = 23;
172: return stan::math::promote_scalar<fun_return_scalar_t__>(log_sum_exp(NO, integrate_1d(wt_integrand_functor__(), 0, T, static_cast<std::vector<local_scalar_t__> >(stan::math::array_builder<local_scalar_t__ >().add(it_a).add(it_b).add(ot_a).add(ot_b).add(T).add(c).add(d).array()), static_cast<std::vector<local_scalar_t__> >(stan::math::array_builder<local_scalar_t__ >().add(1.0).array()), static_cast<std::vector<int> >(stan::math::array_builder<int >().add(1).array()), *pstream__, 0.001)));
173: }
174: } catch (const std::exception& e) {
175: stan::lang::rethrow_located(e, current_statement_begin__, prog_reader__());
176: // Next line prevents compiler griping about no return
177: throw std::runtime_error("*** IF YOU SEE THIS, PLEASE REPORT A BUG ***");
178: }
179: }
180:
181:
182: struct wt_prob_functor__ {
183: template <typename T0__, typename T1__, typename T2__, typename T3__, typename T4__, typename T5__, typename T6__>
184: typename boost::math::tools::promote_args<T0__, T1__, T2__, T3__, typename boost::math::tools::promote_args<T4__, T5__, T6__>::type>::type
185: operator()(const T0__& T,
186: const T1__& it_a,
187: const T2__& it_b,
188: const T3__& ot_a,
189: const T4__& ot_b,
190: const T5__& c,
191: const T6__& d, std::ostream* pstream__) const {
192: return wt_prob(T, it_a, it_b, ot_a, ot_b, c, d, pstream__);
193: }
194: };
195:
196: template <typename T0__, typename T1__, typename T2__, typename T3__>
197: typename boost::math::tools::promote_args<T0__, T1__, T2__, T3__>::type
198: yt_integrand(const T0__& t,
199: const T1__& tc,
200: const std::vector<T2__>& theta,
201: const std::vector<T3__>& x_r,
202: const std::vector<int>& x_i, std::ostream* pstream__) {
203: typedef typename boost::math::tools::promote_args<T0__, T1__, T2__, T3__>::type local_scalar_t__;
204: typedef local_scalar_t__ fun_return_scalar_t__;
205: const static bool propto__ = true;
206: (void) propto__;
207: local_scalar_t__ DUMMY_VAR__(std::numeric_limits<double>::quiet_NaN());
208: (void) DUMMY_VAR__; // suppress unused var warning
209:
210: int current_statement_begin__ = -1;
211: try {
212: {
213: current_statement_begin__ = 27;
214: local_scalar_t__ it_a(DUMMY_VAR__);
215: (void) it_a; // dummy to suppress unused var warning
216: stan::math::initialize(it_a, DUMMY_VAR__);
217: stan::math::fill(it_a, DUMMY_VAR__);
218: stan::math::assign(it_a,get_base1(theta, 1, "theta", 1));
219:
220: current_statement_begin__ = 28;
221: local_scalar_t__ it_b(DUMMY_VAR__);
222: (void) it_b; // dummy to suppress unused var warning
223: stan::math::initialize(it_b, DUMMY_VAR__);
224: stan::math::fill(it_b, DUMMY_VAR__);
225: stan::math::assign(it_b,get_base1(theta, 2, "theta", 1));
226:
227: current_statement_begin__ = 29;
228: local_scalar_t__ ot_a(DUMMY_VAR__);
229: (void) ot_a; // dummy to suppress unused var warning
230: stan::math::initialize(ot_a, DUMMY_VAR__);
231: stan::math::fill(ot_a, DUMMY_VAR__);
232: stan::math::assign(ot_a,get_base1(theta, 3, "theta", 1));
233:
234: current_statement_begin__ = 30;
235: local_scalar_t__ ot_b(DUMMY_VAR__);
236: (void) ot_b; // dummy to suppress unused var warning
237: stan::math::initialize(ot_b, DUMMY_VAR__);
238: stan::math::fill(ot_b, DUMMY_VAR__);
239: stan::math::assign(ot_b,get_base1(theta, 4, "theta", 1));
240:
241: current_statement_begin__ = 31;
242: local_scalar_t__ t_star(DUMMY_VAR__);
243: (void) t_star; // dummy to suppress unused var warning
244: stan::math::initialize(t_star, DUMMY_VAR__);
245: stan::math::fill(t_star, DUMMY_VAR__);
246: stan::math::assign(t_star,get_base1(theta, 5, "theta", 1));
247:
248: current_statement_begin__ = 32;
249: local_scalar_t__ p_c(DUMMY_VAR__);
250: (void) p_c; // dummy to suppress unused var warning
251: stan::math::initialize(p_c, DUMMY_VAR__);
252: stan::math::fill(p_c, DUMMY_VAR__);
253: stan::math::assign(p_c,get_base1(theta, 6, "theta", 1));
254:
255: current_statement_begin__ = 33;
256: local_scalar_t__ p_d(DUMMY_VAR__);
257: (void) p_d; // dummy to suppress unused var warning
258: stan::math::initialize(p_d, DUMMY_VAR__);
259: stan::math::fill(p_d, DUMMY_VAR__);
260: stan::math::assign(p_d,get_base1(theta, 7, "theta", 1));
261:
262: current_statement_begin__ = 34;
263: local_scalar_t__ likelihood(DUMMY_VAR__);
264: (void) likelihood; // dummy to suppress unused var warning
265: stan::math::initialize(likelihood, DUMMY_VAR__);
266: stan::math::fill(likelihood, DUMMY_VAR__);
267:
268:
269: current_statement_begin__ = 36;
270: stan::math::assign(likelihood, (((gamma_log(t, ot_a, ot_b) + log_sum_exp(0, p_c)) + gamma_log((t_star - t), it_a, it_b)) + p_d));
271: current_statement_begin__ = 37;
272: return stan::math::promote_scalar<fun_return_scalar_t__>(likelihood);
273: }
274: } catch (const std::exception& e) {
275: stan::lang::rethrow_located(e, current_statement_begin__, prog_reader__());
276: // Next line prevents compiler griping about no return
277: throw std::runtime_error("*** IF YOU SEE THIS, PLEASE REPORT A BUG ***");
278: }
279: }
280:
281:
282: struct yt_integrand_functor__ {
283: template <typename T0__, typename T1__, typename T2__, typename T3__>
284: typename boost::math::tools::promote_args<T0__, T1__, T2__, T3__>::type
285: operator()(const T0__& t,
286: const T1__& tc,
287: const std::vector<T2__>& theta,
288: const std::vector<T3__>& x_r,
289: const std::vector<int>& x_i, std::ostream* pstream__) const {
290: return yt_integrand(t, tc, theta, x_r, x_i, pstream__);
291: }
292: };
293:
294: template <typename T0__, typename T1__, typename T2__, typename T3__, typename T4__, typename T5__, typename T6__, typename T7__>
295: typename boost::math::tools::promote_args<T0__, T1__, T2__, T3__, typename boost::math::tools::promote_args<T4__, T5__, T6__, T7__>::type>::type
296: yt_prob(const T0__& t_star,
297: const T1__& it_a,
298: const T2__& it_b,
299: const T3__& ot_a,
300: const T4__& ot_b,
301: const T5__& T,
302: const T6__& c,
303: const T7__& d, std::ostream* pstream__) {
304: typedef typename boost::math::tools::promote_args<T0__, T1__, T2__, T3__, typename boost::math::tools::promote_args<T4__, T5__, T6__, T7__>::type>::type local_scalar_t__;
305: typedef local_scalar_t__ fun_return_scalar_t__;
306: const static bool propto__ = true;
307: (void) propto__;
308: local_scalar_t__ DUMMY_VAR__(std::numeric_limits<double>::quiet_NaN());
309: (void) DUMMY_VAR__; // suppress unused var warning
310:
311: int current_statement_begin__ = -1;
312: try {
313: {
314: current_statement_begin__ = 41;
315: local_scalar_t__ ON(DUMMY_VAR__);
316: (void) ON; // dummy to suppress unused var warning
317: stan::math::initialize(ON, DUMMY_VAR__);
318: stan::math::fill(ON, DUMMY_VAR__);
319: stan::math::assign(ON,(gamma_log(t_star, ot_a, ot_b) + c));
320:
321:
322: current_statement_begin__ = 42;
323: return stan::math::promote_scalar<fun_return_scalar_t__>(log_sum_exp(ON, integrate_1d(yt_integrand_functor__(), 0, T, static_cast<std::vector<local_scalar_t__> >(stan::math::array_builder<local_scalar_t__ >().add(it_a).add(it_b).add(ot_a).add(ot_b).add(t_star).add(c).add(d).array()), static_cast<std::vector<local_scalar_t__> >(stan::math::array_builder<local_scalar_t__ >().add(1.0).array()), static_cast<std::vector<int> >(stan::math::array_builder<int >().add(1).array()), *pstream__, 0.001)));
324: }
325: } catch (const std::exception& e) {
326: stan::lang::rethrow_located(e, current_statement_begin__, prog_reader__());
327: // Next line prevents compiler griping about no return
328: throw std::runtime_error("*** IF YOU SEE THIS, PLEASE REPORT A BUG ***");
329: }
330: }
331:
332:
333: struct yt_prob_functor__ {
334: template <typename T0__, typename T1__, typename T2__, typename T3__, typename T4__, typename T5__, typename T6__, typename T7__>
335: typename boost::math::tools::promote_args<T0__, T1__, T2__, T3__, typename boost::math::tools::promote_args<T4__, T5__, T6__, T7__>::type>::type
336: operator()(const T0__& t_star,
337: const T1__& it_a,
338: const T2__& it_b,
339: const T3__& ot_a,
340: const T4__& ot_b,
341: const T5__& T,
342: const T6__& c,
343: const T7__& d, std::ostream* pstream__) const {
344: return yt_prob(t_star, it_a, it_b, ot_a, ot_b, T, c, d, pstream__);
345: }
346: };
347:
348: class model3bf038e124f5_att_model1 : public prob_grad {
349: private:
350: int N_T_NR_T;
351: int N_T_NR_F;
352: int N_T_F_F;
353: int N_T_T_F;
354: int N_T_F_T;
355: int N_F_NR_F;
356: int N_F_NR_N;
357: int N_F_N_F;
358: int N_F_N_N;
359: int C;
360: matrix_d T_no_T;
361: matrix_d T_no_F;
362: matrix_d T_F_to_F;
363: matrix_d T_T_to_F;
364: matrix_d T_F_to_T;
365: matrix_d F_no_F;
366: matrix_d F_no_N;
367: matrix_d F_N_to_F;
368: matrix_d F_N_to_N;
369: public:
370: model3bf038e124f5_att_model1(stan::io::var_context& context__,
371: std::ostream* pstream__ = 0)
372: : prob_grad(0) {
373: ctor_body(context__, 0, pstream__);
374: }
375:
376: model3bf038e124f5_att_model1(stan::io::var_context& context__,
377: unsigned int random_seed__,
378: std::ostream* pstream__ = 0)
379: : prob_grad(0) {
380: ctor_body(context__, random_seed__, pstream__);
381: }
382:
383: void ctor_body(stan::io::var_context& context__,
384: unsigned int random_seed__,
385: std::ostream* pstream__) {
386: typedef double local_scalar_t__;
387:
388: boost::ecuyer1988 base_rng__ =
389: stan::services::util::create_rng(random_seed__, 0);
390: (void) base_rng__; // suppress unused var warning
391:
392: current_statement_begin__ = -1;
393:
394: static const char* function__ = "model3bf038e124f5_att_model1_namespace::model3bf038e124f5_att_model1";
395: (void) function__; // dummy to suppress unused var warning
396: size_t pos__;
397: (void) pos__; // dummy to suppress unused var warning
398: std::vector<int> vals_i__;
399: std::vector<double> vals_r__;
400: local_scalar_t__ DUMMY_VAR__(std::numeric_limits<double>::quiet_NaN());
401: (void) DUMMY_VAR__; // suppress unused var warning
402:
403: try {
404: // initialize data block variables from context__
405: current_statement_begin__ = 48;
406: context__.validate_dims("data initialization", "N_T_NR_T", "int", context__.to_vec());
407: N_T_NR_T = int(0);
408: vals_i__ = context__.vals_i("N_T_NR_T");
409: pos__ = 0;
410: N_T_NR_T = vals_i__[pos__++];
411:
412: current_statement_begin__ = 49;
413: context__.validate_dims("data initialization", "N_T_NR_F", "int", context__.to_vec());
414: N_T_NR_F = int(0);
415: vals_i__ = context__.vals_i("N_T_NR_F");
416: pos__ = 0;
417: N_T_NR_F = vals_i__[pos__++];
418:
419: current_statement_begin__ = 50;
420: context__.validate_dims("data initialization", "N_T_F_F", "int", context__.to_vec());
421: N_T_F_F = int(0);
422: vals_i__ = context__.vals_i("N_T_F_F");
423: pos__ = 0;
424: N_T_F_F = vals_i__[pos__++];
425:
426: current_statement_begin__ = 51;
427: context__.validate_dims("data initialization", "N_T_T_F", "int", context__.to_vec());
428: N_T_T_F = int(0);
429: vals_i__ = context__.vals_i("N_T_T_F");
430: pos__ = 0;
431: N_T_T_F = vals_i__[pos__++];
432:
433: current_statement_begin__ = 52;
434: context__.validate_dims("data initialization", "N_T_F_T", "int", context__.to_vec());
435: N_T_F_T = int(0);
436: vals_i__ = context__.vals_i("N_T_F_T");
437: pos__ = 0;
438: N_T_F_T = vals_i__[pos__++];
439:
440: current_statement_begin__ = 54;
441: context__.validate_dims("data initialization", "N_F_NR_F", "int", context__.to_vec());
442: N_F_NR_F = int(0);
443: vals_i__ = context__.vals_i("N_F_NR_F");
444: pos__ = 0;
445: N_F_NR_F = vals_i__[pos__++];
446:
447: current_statement_begin__ = 55;
448: context__.validate_dims("data initialization", "N_F_NR_N", "int", context__.to_vec());
449: N_F_NR_N = int(0);
450: vals_i__ = context__.vals_i("N_F_NR_N");
451: pos__ = 0;
452: N_F_NR_N = vals_i__[pos__++];
453:
454: current_statement_begin__ = 56;
455: context__.validate_dims("data initialization", "N_F_N_F", "int", context__.to_vec());
456: N_F_N_F = int(0);
457: vals_i__ = context__.vals_i("N_F_N_F");
458: pos__ = 0;
459: N_F_N_F = vals_i__[pos__++];
460:
461: current_statement_begin__ = 57;
462: context__.validate_dims("data initialization", "N_F_N_N", "int", context__.to_vec());
463: N_F_N_N = int(0);
464: vals_i__ = context__.vals_i("N_F_N_N");
465: pos__ = 0;
466: N_F_N_N = vals_i__[pos__++];
467:
468: current_statement_begin__ = 58;
469: context__.validate_dims("data initialization", "C", "int", context__.to_vec());
470: C = int(0);
471: vals_i__ = context__.vals_i("C");
472: pos__ = 0;
473: C = vals_i__[pos__++];
474:
475: current_statement_begin__ = 60;
476: validate_non_negative_index("T_no_T", "N_T_NR_T", N_T_NR_T);
477: validate_non_negative_index("T_no_T", "C", C);
478: context__.validate_dims("data initialization", "T_no_T", "matrix_d", context__.to_vec(N_T_NR_T,C));
479: T_no_T = Eigen::Matrix<double, Eigen::Dynamic, Eigen::Dynamic>(N_T_NR_T, C);
480: vals_r__ = context__.vals_r("T_no_T");
481: pos__ = 0;
482: size_t T_no_T_j_2_max__ = C;
483: size_t T_no_T_j_1_max__ = N_T_NR_T;
484: for (size_t j_2__ = 0; j_2__ < T_no_T_j_2_max__; ++j_2__) {
485: for (size_t j_1__ = 0; j_1__ < T_no_T_j_1_max__; ++j_1__) {
486: T_no_T(j_1__, j_2__) = vals_r__[pos__++];
487: }
488: }
489:
490: current_statement_begin__ = 61;
491: validate_non_negative_index("T_no_F", "N_T_NR_F", N_T_NR_F);
492: validate_non_negative_index("T_no_F", "C", C);
493: context__.validate_dims("data initialization", "T_no_F", "matrix_d", context__.to_vec(N_T_NR_F,C));
494: T_no_F = Eigen::Matrix<double, Eigen::Dynamic, Eigen::Dynamic>(N_T_NR_F, C);
495: vals_r__ = context__.vals_r("T_no_F");
496: pos__ = 0;
497: size_t T_no_F_j_2_max__ = C;
498: size_t T_no_F_j_1_max__ = N_T_NR_F;
499: for (size_t j_2__ = 0; j_2__ < T_no_F_j_2_max__; ++j_2__) {
500: for (size_t j_1__ = 0; j_1__ < T_no_F_j_1_max__; ++j_1__) {
501: T_no_F(j_1__, j_2__) = vals_r__[pos__++];
502: }
503: }
504:
505: current_statement_begin__ = 62;
506: validate_non_negative_index("T_F_to_F", "N_T_F_F", N_T_F_F);
507: validate_non_negative_index("T_F_to_F", "C", C);
508: context__.validate_dims("data initialization", "T_F_to_F", "matrix_d", context__.to_vec(N_T_F_F,C));
509: T_F_to_F = Eigen::Matrix<double, Eigen::Dynamic, Eigen::Dynamic>(N_T_F_F, C);
510: vals_r__ = context__.vals_r("T_F_to_F");
511: pos__ = 0;
512: size_t T_F_to_F_j_2_max__ = C;
513: size_t T_F_to_F_j_1_max__ = N_T_F_F;
514: for (size_t j_2__ = 0; j_2__ < T_F_to_F_j_2_max__; ++j_2__) {
515: for (size_t j_1__ = 0; j_1__ < T_F_to_F_j_1_max__; ++j_1__) {
516: T_F_to_F(j_1__, j_2__) = vals_r__[pos__++];
517: }
518: }
519:
520: current_statement_begin__ = 63;
521: validate_non_negative_index("T_T_to_F", "N_T_T_F", N_T_T_F);
522: validate_non_negative_index("T_T_to_F", "C", C);
523: context__.validate_dims("data initialization", "T_T_to_F", "matrix_d", context__.to_vec(N_T_T_F,C));
524: T_T_to_F = Eigen::Matrix<double, Eigen::Dynamic, Eigen::Dynamic>(N_T_T_F, C);
525: vals_r__ = context__.vals_r("T_T_to_F");
526: pos__ = 0;
527: size_t T_T_to_F_j_2_max__ = C;
528: size_t T_T_to_F_j_1_max__ = N_T_T_F;
529: for (size_t j_2__ = 0; j_2__ < T_T_to_F_j_2_max__; ++j_2__) {
530: for (size_t j_1__ = 0; j_1__ < T_T_to_F_j_1_max__; ++j_1__) {
531: T_T_to_F(j_1__, j_2__) = vals_r__[pos__++];
532: }
533: }
534:
535: current_statement_begin__ = 64;
536: validate_non_negative_index("T_F_to_T", "N_T_F_T", N_T_F_T);
537: validate_non_negative_index("T_F_to_T", "C", C);
538: context__.validate_dims("data initialization", "T_F_to_T", "matrix_d", context__.to_vec(N_T_F_T,C));
539: T_F_to_T = Eigen::Matrix<double, Eigen::Dynamic, Eigen::Dynamic>(N_T_F_T, C);
540: vals_r__ = context__.vals_r("T_F_to_T");
541: pos__ = 0;
542: size_t T_F_to_T_j_2_max__ = C;
543: size_t T_F_to_T_j_1_max__ = N_T_F_T;
544: for (size_t j_2__ = 0; j_2__ < T_F_to_T_j_2_max__; ++j_2__) {
545: for (size_t j_1__ = 0; j_1__ < T_F_to_T_j_1_max__; ++j_1__) {
546: T_F_to_T(j_1__, j_2__) = vals_r__[pos__++];
547: }
548: }
549:
550: current_statement_begin__ = 66;
551: validate_non_negative_index("F_no_F", "N_F_NR_F", N_F_NR_F);
552: validate_non_negative_index("F_no_F", "C", C);
553: context__.validate_dims("data initialization", "F_no_F", "matrix_d", context__.to_vec(N_F_NR_F,C));
554: F_no_F = Eigen::Matrix<double, Eigen::Dynamic, Eigen::Dynamic>(N_F_NR_F, C);
555: vals_r__ = context__.vals_r("F_no_F");
556: pos__ = 0;
557: size_t F_no_F_j_2_max__ = C;
558: size_t F_no_F_j_1_max__ = N_F_NR_F;
559: for (size_t j_2__ = 0; j_2__ < F_no_F_j_2_max__; ++j_2__) {
560: for (size_t j_1__ = 0; j_1__ < F_no_F_j_1_max__; ++j_1__) {
561: F_no_F(j_1__, j_2__) = vals_r__[pos__++];
562: }
563: }
564:
565: current_statement_begin__ = 67;
566: validate_non_negative_index("F_no_N", "N_F_NR_N", N_F_NR_N);
567: validate_non_negative_index("F_no_N", "C", C);
568: context__.validate_dims("data initialization", "F_no_N", "matrix_d", context__.to_vec(N_F_NR_N,C));
569: F_no_N = Eigen::Matrix<double, Eigen::Dynamic, Eigen::Dynamic>(N_F_NR_N, C);
570: vals_r__ = context__.vals_r("F_no_N");
571: pos__ = 0;
572: size_t F_no_N_j_2_max__ = C;
573: size_t F_no_N_j_1_max__ = N_F_NR_N;
574: for (size_t j_2__ = 0; j_2__ < F_no_N_j_2_max__; ++j_2__) {
575: for (size_t j_1__ = 0; j_1__ < F_no_N_j_1_max__; ++j_1__) {
576: F_no_N(j_1__, j_2__) = vals_r__[pos__++];
577: }
578: }
579:
580: current_statement_begin__ = 68;
581: validate_non_negative_index("F_N_to_F", "N_F_N_F", N_F_N_F);
582: validate_non_negative_index("F_N_to_F", "C", C);
583: context__.validate_dims("data initialization", "F_N_to_F", "matrix_d", context__.to_vec(N_F_N_F,C));
584: F_N_to_F = Eigen::Matrix<double, Eigen::Dynamic, Eigen::Dynamic>(N_F_N_F, C);
585: vals_r__ = context__.vals_r("F_N_to_F");
586: pos__ = 0;
587: size_t F_N_to_F_j_2_max__ = C;
588: size_t F_N_to_F_j_1_max__ = N_F_N_F;
589: for (size_t j_2__ = 0; j_2__ < F_N_to_F_j_2_max__; ++j_2__) {
590: for (size_t j_1__ = 0; j_1__ < F_N_to_F_j_1_max__; ++j_1__) {
591: F_N_to_F(j_1__, j_2__) = vals_r__[pos__++];
592: }
593: }
594:
595: current_statement_begin__ = 69;
596: validate_non_negative_index("F_N_to_N", "N_F_N_N", N_F_N_N);
597: validate_non_negative_index("F_N_to_N", "C", C);
598: context__.validate_dims("data initialization", "F_N_to_N", "matrix_d", context__.to_vec(N_F_N_N,C));
599: F_N_to_N = Eigen::Matrix<double, Eigen::Dynamic, Eigen::Dynamic>(N_F_N_N, C);
600: vals_r__ = context__.vals_r("F_N_to_N");
601: pos__ = 0;
602: size_t F_N_to_N_j_2_max__ = C;
603: size_t F_N_to_N_j_1_max__ = N_F_N_N;
604: for (size_t j_2__ = 0; j_2__ < F_N_to_N_j_2_max__; ++j_2__) {
605: for (size_t j_1__ = 0; j_1__ < F_N_to_N_j_1_max__; ++j_1__) {
606: F_N_to_N(j_1__, j_2__) = vals_r__[pos__++];
607: }
608: }
609:
610:
611: // initialize transformed data variables
612: // execute transformed data statements
613:
614: // validate transformed data
615:
616: // validate, set parameter ranges
617: num_params_r__ = 0U;
618: param_ranges_i__.clear();
619: current_statement_begin__ = 74;
620: num_params_r__ += 1;
621: current_statement_begin__ = 75;
622: num_params_r__ += 1;
623: current_statement_begin__ = 76;
624: num_params_r__ += 1;
625: current_statement_begin__ = 79;
626: num_params_r__ += 1;
627: current_statement_begin__ = 80;
628: num_params_r__ += 1;
629: current_statement_begin__ = 81;
630: num_params_r__ += 1;
631: current_statement_begin__ = 84;
632: num_params_r__ += 1;
633: current_statement_begin__ = 85;
634: num_params_r__ += 1;
635: current_statement_begin__ = 86;
636: num_params_r__ += 1;
637: } catch (const std::exception& e) {
638: stan::lang::rethrow_located(e, current_statement_begin__, prog_reader__());
639: // Next line prevents compiler griping about no return
640: throw std::runtime_error("*** IF YOU SEE THIS, PLEASE REPORT A BUG ***");
641: }
642: }
643:
644: ~model3bf038e124f5_att_model1() { }
645:
646:
647: void transform_inits(const stan::io::var_context& context__,
648: std::vector<int>& params_i__,
649: std::vector<double>& params_r__,
650: std::ostream* pstream__) const {
651: typedef double local_scalar_t__;
652: stan::io::writer<double> writer__(params_r__, params_i__);
653: size_t pos__;
654: (void) pos__; // dummy call to supress warning
655: std::vector<double> vals_r__;
656: std::vector<int> vals_i__;
657:
658: current_statement_begin__ = 74;
659: if (!(context__.contains_r("gt_a")))
660: stan::lang::rethrow_located(std::runtime_error(std::string("Variable gt_a missing")), current_statement_begin__, prog_reader__());
661: vals_r__ = context__.vals_r("gt_a");
662: pos__ = 0U;
663: context__.validate_dims("parameter initialization", "gt_a", "double", context__.to_vec());
664: double gt_a(0);
665: gt_a = vals_r__[pos__++];
666: try {
667: writer__.scalar_lub_unconstrain(0, 200, gt_a);
668: } catch (const std::exception& e) {
669: stan::lang::rethrow_located(std::runtime_error(std::string("Error transforming variable gt_a: ") + e.what()), current_statement_begin__, prog_reader__());
670: }
671:
672: current_statement_begin__ = 75;
673: if (!(context__.contains_r("gt_b")))
674: stan::lang::rethrow_located(std::runtime_error(std::string("Variable gt_b missing")), current_statement_begin__, prog_reader__());
675: vals_r__ = context__.vals_r("gt_b");
676: pos__ = 0U;
677: context__.validate_dims("parameter initialization", "gt_b", "double", context__.to_vec());
678: double gt_b(0);
679: gt_b = vals_r__[pos__++];
680: try {
681: writer__.scalar_lub_unconstrain(0, 2, gt_b);
682: } catch (const std::exception& e) {
683: stan::lang::rethrow_located(std::runtime_error(std::string("Error transforming variable gt_b: ") + e.what()), current_statement_begin__, prog_reader__());
684: }
685:
686: current_statement_begin__ = 76;
687: if (!(context__.contains_r("p_e")))
688: stan::lang::rethrow_located(std::runtime_error(std::string("Variable p_e missing")), current_statement_begin__, prog_reader__());
689: vals_r__ = context__.vals_r("p_e");
690: pos__ = 0U;
691: context__.validate_dims("parameter initialization", "p_e", "double", context__.to_vec());
692: double p_e(0);
693: p_e = vals_r__[pos__++];
694: try {
695: writer__.scalar_lub_unconstrain(0, 1, p_e);
696: } catch (const std::exception& e) {
697: stan::lang::rethrow_located(std::runtime_error(std::string("Error transforming variable p_e: ") + e.what()), current_statement_begin__, prog_reader__());
698: }
699:
700: current_statement_begin__ = 79;
701: if (!(context__.contains_r("ot_a")))
702: stan::lang::rethrow_located(std::runtime_error(std::string("Variable ot_a missing")), current_statement_begin__, prog_reader__());
703: vals_r__ = context__.vals_r("ot_a");
704: pos__ = 0U;
705: context__.validate_dims("parameter initialization", "ot_a", "double", context__.to_vec());
706: double ot_a(0);
707: ot_a = vals_r__[pos__++];
708: try {
709: writer__.scalar_lub_unconstrain(0, 200, ot_a);
710: } catch (const std::exception& e) {
711: stan::lang::rethrow_located(std::runtime_error(std::string("Error transforming variable ot_a: ") + e.what()), current_statement_begin__, prog_reader__());
712: }
713:
714: current_statement_begin__ = 80;
715: if (!(context__.contains_r("ot_b")))
716: stan::lang::rethrow_located(std::runtime_error(std::string("Variable ot_b missing")), current_statement_begin__, prog_reader__());
717: vals_r__ = context__.vals_r("ot_b");
718: pos__ = 0U;
719: context__.validate_dims("parameter initialization", "ot_b", "double", context__.to_vec());
720: double ot_b(0);
721: ot_b = vals_r__[pos__++];
722: try {
723: writer__.scalar_lub_unconstrain(0, 2, ot_b);
724: } catch (const std::exception& e) {
725: stan::lang::rethrow_located(std::runtime_error(std::string("Error transforming variable ot_b: ") + e.what()), current_statement_begin__, prog_reader__());
726: }
727:
728: current_statement_begin__ = 81;
729: if (!(context__.contains_r("p_c")))
730: stan::lang::rethrow_located(std::runtime_error(std::string("Variable p_c missing")), current_statement_begin__, prog_reader__());
731: vals_r__ = context__.vals_r("p_c");
732: pos__ = 0U;
733: context__.validate_dims("parameter initialization", "p_c", "double", context__.to_vec());
734: double p_c(0);
735: p_c = vals_r__[pos__++];
736: try {
737: writer__.scalar_lub_unconstrain(0, 1, p_c);
738: } catch (const std::exception& e) {
739: stan::lang::rethrow_located(std::runtime_error(std::string("Error transforming variable p_c: ") + e.what()), current_statement_begin__, prog_reader__());
740: }
741:
742: current_statement_begin__ = 84;
743: if (!(context__.contains_r("it_a")))
744: stan::lang::rethrow_located(std::runtime_error(std::string("Variable it_a missing")), current_statement_begin__, prog_reader__());
745: vals_r__ = context__.vals_r("it_a");
746: pos__ = 0U;
747: context__.validate_dims("parameter initialization", "it_a", "double", context__.to_vec());
748: double it_a(0);
749: it_a = vals_r__[pos__++];
750: try {
751: writer__.scalar_lub_unconstrain(0, 200, it_a);
752: } catch (const std::exception& e) {
753: stan::lang::rethrow_located(std::runtime_error(std::string("Error transforming variable it_a: ") + e.what()), current_statement_begin__, prog_reader__());
754: }
755:
756: current_statement_begin__ = 85;
757: if (!(context__.contains_r("it_b")))
758: stan::lang::rethrow_located(std::runtime_error(std::string("Variable it_b missing")), current_statement_begin__, prog_reader__());
759: vals_r__ = context__.vals_r("it_b");
760: pos__ = 0U;
761: context__.validate_dims("parameter initialization", "it_b", "double", context__.to_vec());
762: double it_b(0);
763: it_b = vals_r__[pos__++];
764: try {
765: writer__.scalar_lub_unconstrain(0, 2, it_b);
766: } catch (const std::exception& e) {
767: stan::lang::rethrow_located(std::runtime_error(std::string("Error transforming variable it_b: ") + e.what()), current_statement_begin__, prog_reader__());
768: }
769:
770: current_statement_begin__ = 86;
771: if (!(context__.contains_r("p_d")))
772: stan::lang::rethrow_located(std::runtime_error(std::string("Variable p_d missing")), current_statement_begin__, prog_reader__());
773: vals_r__ = context__.vals_r("p_d");
774: pos__ = 0U;
775: context__.validate_dims("parameter initialization", "p_d", "double", context__.to_vec());
776: double p_d(0);
777: p_d = vals_r__[pos__++];
778: try {
779: writer__.scalar_lub_unconstrain(0, 1, p_d);
780: } catch (const std::exception& e) {
781: stan::lang::rethrow_located(std::runtime_error(std::string("Error transforming variable p_d: ") + e.what()), current_statement_begin__, prog_reader__());
782: }
783:
784: params_r__ = writer__.data_r();
785: params_i__ = writer__.data_i();
786: }
787:
788: void transform_inits(const stan::io::var_context& context,
789: Eigen::Matrix<double, Eigen::Dynamic, 1>& params_r,
790: std::ostream* pstream__) const {
791: std::vector<double> params_r_vec;
792: std::vector<int> params_i_vec;
793: transform_inits(context, params_i_vec, params_r_vec, pstream__);
794: params_r.resize(params_r_vec.size());
795: for (int i = 0; i < params_r.size(); ++i)
796: params_r(i) = params_r_vec[i];
797: }
798:
799:
800: template <bool propto__, bool jacobian__, typename T__>
801: T__ log_prob(std::vector<T__>& params_r__,
802: std::vector<int>& params_i__,
803: std::ostream* pstream__ = 0) const {
804:
805: typedef T__ local_scalar_t__;
806:
807: local_scalar_t__ DUMMY_VAR__(std::numeric_limits<double>::quiet_NaN());
808: (void) DUMMY_VAR__; // dummy to suppress unused var warning
809:
810: T__ lp__(0.0);
811: stan::math::accumulator<T__> lp_accum__;
812: try {
813: stan::io::reader<local_scalar_t__> in__(params_r__, params_i__);
814:
815: // model parameters
816: current_statement_begin__ = 74;
817: local_scalar_t__ gt_a;
818: (void) gt_a; // dummy to suppress unused var warning
819: if (jacobian__)
820: gt_a = in__.scalar_lub_constrain(0, 200, lp__);
821: else
822: gt_a = in__.scalar_lub_constrain(0, 200);
823:
824: current_statement_begin__ = 75;
825: local_scalar_t__ gt_b;
826: (void) gt_b; // dummy to suppress unused var warning
827: if (jacobian__)
828: gt_b = in__.scalar_lub_constrain(0, 2, lp__);
829: else
830: gt_b = in__.scalar_lub_constrain(0, 2);
831:
832: current_statement_begin__ = 76;
833: local_scalar_t__ p_e;
834: (void) p_e; // dummy to suppress unused var warning
835: if (jacobian__)
836: p_e = in__.scalar_lub_constrain(0, 1, lp__);
837: else
838: p_e = in__.scalar_lub_constrain(0, 1);
839:
840: current_statement_begin__ = 79;
841: local_scalar_t__ ot_a;
842: (void) ot_a; // dummy to suppress unused var warning
843: if (jacobian__)
844: ot_a = in__.scalar_lub_constrain(0, 200, lp__);
845: else
846: ot_a = in__.scalar_lub_constrain(0, 200);
847:
848: current_statement_begin__ = 80;
849: local_scalar_t__ ot_b;
850: (void) ot_b; // dummy to suppress unused var warning
851: if (jacobian__)
852: ot_b = in__.scalar_lub_constrain(0, 2, lp__);
853: else
854: ot_b = in__.scalar_lub_constrain(0, 2);
855:
856: current_statement_begin__ = 81;
857: local_scalar_t__ p_c;
858: (void) p_c; // dummy to suppress unused var warning
859: if (jacobian__)
860: p_c = in__.scalar_lub_constrain(0, 1, lp__);
861: else
862: p_c = in__.scalar_lub_constrain(0, 1);
863:
864: current_statement_begin__ = 84;
865: local_scalar_t__ it_a;
866: (void) it_a; // dummy to suppress unused var warning
867: if (jacobian__)
868: it_a = in__.scalar_lub_constrain(0, 200, lp__);
869: else
870: it_a = in__.scalar_lub_constrain(0, 200);
871:
872: current_statement_begin__ = 85;
873: local_scalar_t__ it_b;
874: (void) it_b; // dummy to suppress unused var warning
875: if (jacobian__)
876: it_b = in__.scalar_lub_constrain(0, 2, lp__);
877: else
878: it_b = in__.scalar_lub_constrain(0, 2);
879:
880: current_statement_begin__ = 86;
881: local_scalar_t__ p_d;
882: (void) p_d; // dummy to suppress unused var warning
883: if (jacobian__)
884: p_d = in__.scalar_lub_constrain(0, 1, lp__);
885: else
886: p_d = in__.scalar_lub_constrain(0, 1);
887:
888: // model body
889: {
890: current_statement_begin__ = 99;
891: local_scalar_t__ y(DUMMY_VAR__);
892: (void) y; // dummy to suppress unused var warning
893: stan::math::initialize(y, DUMMY_VAR__);
894: stan::math::fill(y, DUMMY_VAR__);
895:
896: current_statement_begin__ = 100;
897: local_scalar_t__ T(DUMMY_VAR__);
898: (void) T; // dummy to suppress unused var warning
899: stan::math::initialize(T, DUMMY_VAR__);
900: stan::math::fill(T, DUMMY_VAR__);
901:
902: current_statement_begin__ = 101;
903: local_scalar_t__ G(DUMMY_VAR__);
904: (void) G; // dummy to suppress unused var warning
905: stan::math::initialize(G, DUMMY_VAR__);
906: stan::math::fill(G, DUMMY_VAR__);
907:
908: current_statement_begin__ = 102;
909: local_scalar_t__ O(DUMMY_VAR__);
910: (void) O; // dummy to suppress unused var warning
911: stan::math::initialize(O, DUMMY_VAR__);
912: stan::math::fill(O, DUMMY_VAR__);
913:
914: current_statement_begin__ = 103;
915: local_scalar_t__ y_pdf(DUMMY_VAR__);
916: (void) y_pdf; // dummy to suppress unused var warning
917: stan::math::initialize(y_pdf, DUMMY_VAR__);
918: stan::math::fill(y_pdf, DUMMY_VAR__);
919:
920:
921: current_statement_begin__ = 117;
922: for (int i = 1; i <= N_T_NR_T; ++i) {
923:
924: current_statement_begin__ = 118;
925: stan::math::assign(T, get_base1(T_no_T, i, 1, "T_no_T", 1));
926: current_statement_begin__ = 119;
927: stan::math::assign(G, (gamma_cdf_log(T, gt_a, gt_b) + p_e));
928: current_statement_begin__ = 120;
929: lp_accum__.add(log_diff_exp(0, G));
930: }
931: current_statement_begin__ = 123;
932: for (int i = 1; i <= N_T_NR_F; ++i) {
933:
934: current_statement_begin__ = 124;
935: stan::math::assign(T, get_base1(T_no_T, i, 1, "T_no_T", 1));
936: current_statement_begin__ = 125;
937: stan::math::assign(G, (gamma_cdf_log(T, gt_a, gt_b) + p_e));
938: current_statement_begin__ = 126;
939: lp_accum__.add((log_diff_exp(0, G) + wt_prob(T, it_a, it_b, ot_a, ot_b, p_c, p_d, pstream__)));
940: }
941: current_statement_begin__ = 129;
942: for (int i = 1; i <= N_T_F_F; ++i) {
943:
944: current_statement_begin__ = 130;
945: stan::math::assign(y, get_base1(T_F_to_F, i, 3, "T_F_to_F", 1));
946: current_statement_begin__ = 131;
947: lp_accum__.add((gamma_log(y, gt_a, gt_b) + p_e));
948: }
949: current_statement_begin__ = 134;
950: for (int i = 1; i <= N_T_T_F; ++i) {
951:
952: current_statement_begin__ = 135;
953: stan::math::assign(y, get_base1(T_T_to_F, i, 3, "T_T_to_F", 1));
954: current_statement_begin__ = 136;
955: lp_accum__.add((gamma_log(y, gt_a, gt_b) + p_e));
956: }
957: current_statement_begin__ = 139;
958: for (int i = 1; i <= N_T_F_T; ++i) {
959:
960: current_statement_begin__ = 140;
961: stan::math::assign(y, get_base1(T_F_to_T, i, 3, "T_F_to_T", 1));
962: current_statement_begin__ = 141;
963: stan::math::assign(T, get_base1(T_F_to_T, i, 1, "T_F_to_T", 1));
964: current_statement_begin__ = 142;
965: stan::math::assign(G, (gamma_cdf_log(T, gt_a, gt_b) + p_e));
966: current_statement_begin__ = 143;
967: stan::math::assign(y_pdf, log_sum_exp((gamma_log(y, ot_a, ot_b) + p_c), yt_prob(y, it_a, it_b, ot_a, ot_b, T, p_c, p_d, pstream__)));
968: current_statement_begin__ = 144;
969: lp_accum__.add((log_diff_exp(0, G) + log_diff_exp(log_sum_exp((gamma_log(y, gt_a, gt_b) + p_e), y_pdf), ((gamma_log(y, gt_a, gt_b) + p_e) + y_pdf))));
970: }
971: current_statement_begin__ = 148;
972: for (int i = 1; i <= N_F_NR_F; ++i) {
973:
974: current_statement_begin__ = 149;
975: stan::math::assign(T, get_base1(F_no_F, i, 1, "F_no_F", 1));
976: current_statement_begin__ = 150;
977: stan::math::assign(G, (gamma_cdf_log(T, gt_a, gt_b) + p_e));
978: current_statement_begin__ = 151;
979: lp_accum__.add(log_diff_exp(0, G));
980: }
981: current_statement_begin__ = 154;
982: for (int i = 1; i <= N_F_NR_N; ++i) {
983:
984: current_statement_begin__ = 155;
985: stan::math::assign(T, get_base1(F_no_N, i, 1, "F_no_N", 1));
986: current_statement_begin__ = 156;
987: stan::math::assign(G, (gamma_cdf_log(T, gt_a, gt_b) + p_e));
988: current_statement_begin__ = 157;
989: stan::math::assign(O, gamma_cdf_log(T, ot_a, ot_b));
990: current_statement_begin__ = 159;
991: lp_accum__.add((log_diff_exp(0, G) + log_sum_exp(log_diff_exp(0, O), (stan::math::log((ot_a / ot_b)) + log_diff_exp(0, p_c)))));
992: }
993: current_statement_begin__ = 162;
994: for (int i = 1; i <= N_F_N_F; ++i) {
995:
996: current_statement_begin__ = 163;
997: stan::math::assign(y, get_base1(F_N_to_F, i, 3, "F_N_to_F", 1));
998: current_statement_begin__ = 164;
999: lp_accum__.add((gamma_log(y, gt_a, gt_b) + p_e));
1000: }
1001: current_statement_begin__ = 167;
1002: for (int i = 1; i <= N_F_N_N; ++i) {
1003:
1004: current_statement_begin__ = 168;
1005: stan::math::assign(y, get_base1(F_N_to_N, i, 3, "F_N_to_N", 1));
1006: current_statement_begin__ = 169;
1007: stan::math::assign(G, (gamma_cdf_log(T, gt_a, gt_b) + p_e));
1008: current_statement_begin__ = 170;
1009: lp_accum__.add(((log_sum_exp((gamma_log(y, gt_a, gt_b) + p_e), log_diff_exp(0, G)) + gamma_log(y, ot_a, ot_b)) + p_c));
1010: }
1011: }
1012:
1013: } catch (const std::exception& e) {
1014: stan::lang::rethrow_located(e, current_statement_begin__, prog_reader__());
1015: // Next line prevents compiler griping about no return
1016: throw std::runtime_error("*** IF YOU SEE THIS, PLEASE REPORT A BUG ***");
1017: }
1018:
1019: lp_accum__.add(lp__);
1020: return lp_accum__.sum();
1021:
1022: } // log_prob()
1023:
1024: template <bool propto, bool jacobian, typename T_>
1025: T_ log_prob(Eigen::Matrix<T_,Eigen::Dynamic,1>& params_r,
1026: std::ostream* pstream = 0) const {
1027: std::vector<T_> vec_params_r;
1028: vec_params_r.reserve(params_r.size());
1029: for (int i = 0; i < params_r.size(); ++i)
1030: vec_params_r.push_back(params_r(i));
1031: std::vector<int> vec_params_i;
1032: return log_prob<propto,jacobian,T_>(vec_params_r, vec_params_i, pstream);
1033: }
1034:
1035:
1036: void get_param_names(std::vector<std::string>& names__) const {
1037: names__.resize(0);
1038: names__.push_back("gt_a");
1039: names__.push_back("gt_b");
1040: names__.push_back("p_e");
1041: names__.push_back("ot_a");
1042: names__.push_back("ot_b");
1043: names__.push_back("p_c");
1044: names__.push_back("it_a");
1045: names__.push_back("it_b");
1046: names__.push_back("p_d");
1047: }
1048:
1049:
1050: void get_dims(std::vector<std::vector<size_t> >& dimss__) const {
1051: dimss__.resize(0);
1052: std::vector<size_t> dims__;
1053: dims__.resize(0);
1054: dimss__.push_back(dims__);
1055: dims__.resize(0);
1056: dimss__.push_back(dims__);
1057: dims__.resize(0);
1058: dimss__.push_back(dims__);
1059: dims__.resize(0);
1060: dimss__.push_back(dims__);
1061: dims__.resize(0);
1062: dimss__.push_back(dims__);
1063: dims__.resize(0);
1064: dimss__.push_back(dims__);
1065: dims__.resize(0);
1066: dimss__.push_back(dims__);
1067: dims__.resize(0);
1068: dimss__.push_back(dims__);
1069: dims__.resize(0);
1070: dimss__.push_back(dims__);
1071: }
1072:
1073: template <typename RNG>
1074: void write_array(RNG& base_rng__,
1075: std::vector<double>& params_r__,
1076: std::vector<int>& params_i__,
1077: std::vector<double>& vars__,
1078: bool include_tparams__ = true,
1079: bool include_gqs__ = true,
1080: std::ostream* pstream__ = 0) const {
1081: typedef double local_scalar_t__;
1082:
1083: vars__.resize(0);
1084: stan::io::reader<local_scalar_t__> in__(params_r__, params_i__);
1085: static const char* function__ = "model3bf038e124f5_att_model1_namespace::write_array";
1086: (void) function__; // dummy to suppress unused var warning
1087:
1088: // read-transform, write parameters
1089: double gt_a = in__.scalar_lub_constrain(0, 200);
1090: vars__.push_back(gt_a);
1091:
1092: double gt_b = in__.scalar_lub_constrain(0, 2);
1093: vars__.push_back(gt_b);
1094:
1095: double p_e = in__.scalar_lub_constrain(0, 1);
1096: vars__.push_back(p_e);
1097:
1098: double ot_a = in__.scalar_lub_constrain(0, 200);
1099: vars__.push_back(ot_a);
1100:
1101: double ot_b = in__.scalar_lub_constrain(0, 2);
1102: vars__.push_back(ot_b);
1103:
1104: double p_c = in__.scalar_lub_constrain(0, 1);
1105: vars__.push_back(p_c);
1106:
1107: double it_a = in__.scalar_lub_constrain(0, 200);
1108: vars__.push_back(it_a);
1109:
1110: double it_b = in__.scalar_lub_constrain(0, 2);
1111: vars__.push_back(it_b);
1112:
1113: double p_d = in__.scalar_lub_constrain(0, 1);
1114: vars__.push_back(p_d);
1115:
1116: double lp__ = 0.0;
1117: (void) lp__; // dummy to suppress unused var warning
1118: stan::math::accumulator<double> lp_accum__;
1119:
1120: local_scalar_t__ DUMMY_VAR__(std::numeric_limits<double>::quiet_NaN());
1121: (void) DUMMY_VAR__; // suppress unused var warning
1122:
1123: if (!include_tparams__ && !include_gqs__) return;
1124:
1125: try {
1126: if (!include_gqs__ && !include_tparams__) return;
1127: if (!include_gqs__) return;
1128: } catch (const std::exception& e) {
1129: stan::lang::rethrow_located(e, current_statement_begin__, prog_reader__());
1130: // Next line prevents compiler griping about no return
1131: throw std::runtime_error("*** IF YOU SEE THIS, PLEASE REPORT A BUG ***");
1132: }
1133: }
1134:
1135: template <typename RNG>
1136: void write_array(RNG& base_rng,
1137: Eigen::Matrix<double,Eigen::Dynamic,1>& params_r,
1138: Eigen::Matrix<double,Eigen::Dynamic,1>& vars,
1139: bool include_tparams = true,
1140: bool include_gqs = true,
1141: std::ostream* pstream = 0) const {
1142: std::vector<double> params_r_vec(params_r.size());
1143: for (int i = 0; i < params_r.size(); ++i)
1144: params_r_vec[i] = params_r(i);
1145: std::vector<double> vars_vec;
1146: std::vector<int> params_i_vec;
1147: write_array(base_rng, params_r_vec, params_i_vec, vars_vec, include_tparams, include_gqs, pstream);
1148: vars.resize(vars_vec.size());
1149: for (int i = 0; i < vars.size(); ++i)
1150: vars(i) = vars_vec[i];
1151: }
1152:
1153: static std::string model_name() {
1154: return "model3bf038e124f5_att_model1";
1155: }
1156:
1157:
1158: void constrained_param_names(std::vector<std::string>& param_names__,
1159: bool include_tparams__ = true,
1160: bool include_gqs__ = true) const {
1161: std::stringstream param_name_stream__;
1162: param_name_stream__.str(std::string());
1163: param_name_stream__ << "gt_a";
1164: param_names__.push_back(param_name_stream__.str());
1165: param_name_stream__.str(std::string());
1166: param_name_stream__ << "gt_b";
1167: param_names__.push_back(param_name_stream__.str());
1168: param_name_stream__.str(std::string());
1169: param_name_stream__ << "p_e";
1170: param_names__.push_back(param_name_stream__.str());
1171: param_name_stream__.str(std::string());
1172: param_name_stream__ << "ot_a";
1173: param_names__.push_back(param_name_stream__.str());
1174: param_name_stream__.str(std::string());
1175: param_name_stream__ << "ot_b";
1176: param_names__.push_back(param_name_stream__.str());
1177: param_name_stream__.str(std::string());
1178: param_name_stream__ << "p_c";
1179: param_names__.push_back(param_name_stream__.str());
1180: param_name_stream__.str(std::string());
1181: param_name_stream__ << "it_a";
1182: param_names__.push_back(param_name_stream__.str());
1183: param_name_stream__.str(std::string());
1184: param_name_stream__ << "it_b";
1185: param_names__.push_back(param_name_stream__.str());
1186: param_name_stream__.str(std::string());
1187: param_name_stream__ << "p_d";
1188: param_names__.push_back(param_name_stream__.str());
1189:
1190: if (!include_gqs__ && !include_tparams__) return;
1191:
1192: if (include_tparams__) {
1193: }
1194:
1195: if (!include_gqs__) return;
1196: }
1197:
1198:
1199: void unconstrained_param_names(std::vector<std::string>& param_names__,
1200: bool include_tparams__ = true,
1201: bool include_gqs__ = true) const {
1202: std::stringstream param_name_stream__;
1203: param_name_stream__.str(std::string());
1204: param_name_stream__ << "gt_a";
1205: param_names__.push_back(param_name_stream__.str());
1206: param_name_stream__.str(std::string());
1207: param_name_stream__ << "gt_b";
1208: param_names__.push_back(param_name_stream__.str());
1209: param_name_stream__.str(std::string());
1210: param_name_stream__ << "p_e";
1211: param_names__.push_back(param_name_stream__.str());
1212: param_name_stream__.str(std::string());
1213: param_name_stream__ << "ot_a";
1214: param_names__.push_back(param_name_stream__.str());
1215: param_name_stream__.str(std::string());
1216: param_name_stream__ << "ot_b";
1217: param_names__.push_back(param_name_stream__.str());
1218: param_name_stream__.str(std::string());
1219: param_name_stream__ << "p_c";
1220: param_names__.push_back(param_name_stream__.str());
1221: param_name_stream__.str(std::string());
1222: param_name_stream__ << "it_a";
1223: param_names__.push_back(param_name_stream__.str());
1224: param_name_stream__.str(std::string());
1225: param_name_stream__ << "it_b";
1226: param_names__.push_back(param_name_stream__.str());
1227: param_name_stream__.str(std::string());
1228: param_name_stream__ << "p_d";
1229: param_names__.push_back(param_name_stream__.str());
1230:
1231: if (!include_gqs__ && !include_tparams__) return;
1232:
1233: if (include_tparams__) {
1234: }
1235:
1236: if (!include_gqs__) return;
1237: }
1238:
1239: }; // model
1240:
1241: } // namespace
1242:
1243: typedef model3bf038e124f5_att_model1_namespace::model3bf038e124f5_att_model1 stan_model;
1244:
1245: #include <rstan/rstaninc.hpp>
1246: /**
1247: * Define Rcpp Module to expose stan_fit's functions to R.
1248: */
1249: RCPP_MODULE(stan_fit4model3bf038e124f5_att_model1_mod){
1250: Rcpp::class_<rstan::stan_fit<model3bf038e124f5_att_model1_namespace::model3bf038e124f5_att_model1,
1251: boost::random::ecuyer1988> >("stan_fit4model3bf038e124f5_att_model1")
1252: // .constructor<Rcpp::List>()
1253: .constructor<SEXP, SEXP, SEXP>()
1254: // .constructor<SEXP, SEXP>()
1255: .method("call_sampler",
1256: &rstan::stan_fit<model3bf038e124f5_att_model1_namespace::model3bf038e124f5_att_model1, boost::random::ecuyer1988>::call_sampler)
1257: .method("param_names",
1258: &rstan::stan_fit<model3bf038e124f5_att_model1_namespace::model3bf038e124f5_att_model1, boost::random::ecuyer1988>::param_names)
1259: .method("param_names_oi",
1260: &rstan::stan_fit<model3bf038e124f5_att_model1_namespace::model3bf038e124f5_att_model1, boost::random::ecuyer1988>::param_names_oi)
1261: .method("param_fnames_oi",
1262: &rstan::stan_fit<model3bf038e124f5_att_model1_namespace::model3bf038e124f5_att_model1, boost::random::ecuyer1988>::param_fnames_oi)
1263: .method("param_dims",
1264: &rstan::stan_fit<model3bf038e124f5_att_model1_namespace::model3bf038e124f5_att_model1, boost::random::ecuyer1988>::param_dims)
1265: .method("param_dims_oi",
1266: &rstan::stan_fit<model3bf038e124f5_att_model1_namespace::model3bf038e124f5_att_model1, boost::random::ecuyer1988>::param_dims_oi)
1267: .method("update_param_oi",
1268: &rstan::stan_fit<model3bf038e124f5_att_model1_namespace::model3bf038e124f5_att_model1, boost::random::ecuyer1988>::update_param_oi)
1269: .method("param_oi_tidx",
1270: &rstan::stan_fit<model3bf038e124f5_att_model1_namespace::model3bf038e124f5_att_model1, boost::random::ecuyer1988>::param_oi_tidx)
1271: .method("grad_log_prob",
1272: &rstan::stan_fit<model3bf038e124f5_att_model1_namespace::model3bf038e124f5_att_model1, boost::random::ecuyer1988>::grad_log_prob)
1273: .method("log_prob",
1274: &rstan::stan_fit<model3bf038e124f5_att_model1_namespace::model3bf038e124f5_att_model1, boost::random::ecuyer1988>::log_prob)
1275: .method("unconstrain_pars",
1276: &rstan::stan_fit<model3bf038e124f5_att_model1_namespace::model3bf038e124f5_att_model1, boost::random::ecuyer1988>::unconstrain_pars)
1277: .method("constrain_pars",
1278: &rstan::stan_fit<model3bf038e124f5_att_model1_namespace::model3bf038e124f5_att_model1, boost::random::ecuyer1988>::constrain_pars)
1279: .method("num_pars_unconstrained",
1280: &rstan::stan_fit<model3bf038e124f5_att_model1_namespace::model3bf038e124f5_att_model1, boost::random::ecuyer1988>::num_pars_unconstrained)
1281: .method("unconstrained_param_names",
1282: &rstan::stan_fit<model3bf038e124f5_att_model1_namespace::model3bf038e124f5_att_model1, boost::random::ecuyer1988>::unconstrained_param_names)
1283: .method("constrained_param_names",
1284: &rstan::stan_fit<model3bf038e124f5_att_model1_namespace::model3bf038e124f5_att_model1, boost::random::ecuyer1988>::constrained_param_names)
1285: .method("standalone_gqs",
1286: &rstan::stan_fit<model3bf038e124f5_att_model1_namespace::model3bf038e124f5_att_model1, boost::random::ecuyer1988>::standalone_gqs)
1287: ;
1288: }
1289:
1290: // declarations
1291: extern "C" {
1292: SEXP file3bf06e8c8186( ) ;
1293: }
1294:
1295: // definition
1296:
1297: SEXP file3bf06e8c8186( ){
1298: return Rcpp::wrap("att_model1");
1299: }
1300:
1301:
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