1 /*
2  *  gretl -- Gnu Regression, Econometrics and Time-series Library
3  *  Copyright (C) 2001 Allin Cottrell and Riccardo "Jack" Lucchetti
4  *
5  *  This program is free software: you can redistribute it and/or modify
6  *  it under the terms of the GNU General Public License as published by
7  *  the Free Software Foundation, either version 3 of the License, or
8  *  (at your option) any later version.
9  *
10  *  This program is distributed in the hope that it will be useful,
11  *  but WITHOUT ANY WARRANTY; without even the implied warranty of
12  *  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
13  *  GNU General Public License for more details.
14  *
15  *  You should have received a copy of the GNU General Public License
16  *  along with this program.  If not, see <http://www.gnu.org/licenses/>.
17  *
18  */
19 
20 /* Private header for sharing info between nls.c and gmm.c */
21 
22 #include "libgretl.h"
23 
24 typedef struct parm_ parm;
25 typedef struct ocset_ ocset;
26 
27 typedef enum {
28     NL_ANALYTICAL  = 1 << 0,
29     NL_AUTOREG     = 1 << 1,
30     NL_AHESS       = 1 << 2,
31     NL_NEWTON      = 1 << 3,
32     NL_SMALLSTEP   = 1 << 4,
33     NL_NAMES_ARRAY = 1 << 5
34 } nl_flags;
35 
36 struct nlspec_ {
37     int ci;             /* NLS, MLE or GMM */
38     int generr;         /* error from genr */
39     nl_flags flags;     /* numeric or analytic derivatives, etc. */
40     gretlopt opt;       /* can include OPT_V for verbose output; if ci = MLE
41 			   can also include OPT_H (Hessian) or OPT_R (QML)
42 			   to control the estimator of the variance matrix;
43 			   can also include OPT_N to force use of
44 			   numerical derivatives.
45 			*/
46     int dv;             /* ID number of dependent variable (NLS) */
47     int lhtype;         /* type of the LHS variable */
48     char lhname[VNAMELEN]; /* name of LHS var in criterion function */
49     char hname[VNAMELEN];  /* name of Hessian matrix, if present */
50     char *parnames;     /* user-set names for parameters */
51     int lhv;            /* ID number of LHS series in function being
52 			   minimized or maximized... */
53     gretl_matrix *lvec; /* or LHS vector */
54     char *nlfunc;       /* string representation of function,
55 			   expressed in terms of the residuals (NLS,
56 			   GMM) or the log-likelihood (MLE)
57 			*/
58     int nparam;         /* number of parameters */
59     int ncoeff;         /* number of coefficients (allows for vector params) */
60     int nvec;           /* number of vector parameters */
61     int naux;           /* number of auxiliary commands */
62     int ngenrs;         /* number of variable-generating formulae */
63     int iters;          /* number of iterations performed */
64     int fncount;        /* number of function evaluations (BFGS) */
65     int grcount;        /* number of gradient evaluations (BFGS) */
66     int t1;             /* starting observation */
67     int t2;             /* ending observation */
68     int real_t1;        /* real starting observation (if sub-sampled) */
69     int real_t2;        /* real ending observation (if sub-sampled) */
70     int nobs;           /* number of observations used */
71     double crit;        /* criterion (minimand or maximand) */
72     double tol;         /* tolerance for stopping iteration */
73     parm *params;       /* array of information on function parameters
74 			   (see the parm_ struct above) */
75     double *fvec;       /* function vector */
76     double *coeff;      /* coefficient estimates */
77     gretl_matrix *J;    /* Jacobian matrix */
78     gretl_matrix *Hinv; /* negative inverse of Hessian */
79     char **aux;         /* auxiliary commands */
80     char *hesscall;     /* function call for Hessian */
81     GENERATOR **genrs;  /* variable-generation pointers */
82     GENERATOR *hgen;    /* generator for Hessian */
83     DATASET *dset;      /* pointer to dataset */
84     PRN *prn;           /* printing aparatus */
85     ocset *oc;          /* orthogonality info (GMM) */
86     char *missmask;     /* mask for missing observations */
87 };
88 
89 void nlspec_destroy_arrays (nlspec *s);
90 
91 void oc_set_destroy (ocset *oc);
92 
93 int nl_calculate_fvec (nlspec *s);
94 
95 int update_coeff_values (const double *x, nlspec *s);
96 
97 int check_gmm_requirements (nlspec *spec);
98 
99 int nlspec_add_orthcond (nlspec *s, const char *str,
100 			 const DATASET *dset);
101 
102 int nlspec_add_ivreg_oc (nlspec *s, int lhv, const int *rlist,
103 			 const double **Z);
104 
105 int nlspec_add_weights (nlspec *s, const char *str);
106 
107 void nlspec_print_gmm_info (const nlspec *spec, PRN *prn);
108 
109 void maybe_add_gmm_residual (MODEL *pmod, const nlspec *spec,
110 			     const DATASET *dset);
111 
112 int gmm_add_vcv (MODEL *pmod, nlspec *spec);
113 
114 int gmm_calculate (nlspec *s, PRN *prn);
115 
116 int gmm_missval_check_etc (nlspec *s);
117