/usr/include/gretl/genmain.h is in libgretl1-dev 2016d-1.
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* gretl -- Gnu Regression, Econometrics and Time-series Library
* Copyright (C) 2001 Allin Cottrell and Riccardo "Jack" Lucchetti
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <http://www.gnu.org/licenses/>.
*
*/
#ifndef GENMAIN_H
#define GENMAIN_H
#include "gretl_matrix.h"
typedef enum {
R_NOBS = 1, /* number of observations in current sample range */
R_NVARS, /* number of variables in dataset (including the constant) */
R_PD, /* periodicity of dataset */
R_T1, /* start of current sample range */
R_T2, /* end of current sample range */
R_DATATYPE, /* dataset structure (x-section, time-series, panel) */
R_WINDOWS, /* running on MS Windows (1) or not (0) */
R_VERSION, /* gretl version number */
R_ERRNO, /* internal gretl error code */
R_SEED, /* RNG seed */
R_HUGE, /* conventional "huge" number, like eg 1.0e100 */
R_DSET_MAX, /* separator */
R_TEST_LNL, /* log-likelihood from last test (if applicable) */
R_KLNL, /* log-likelihood from Kalman filter (if applicable) */
R_KS2, /* variance estimate from Kalman filter (if applicable) */
R_KSTEP, /* current Kalman time-step (if applicable) */
R_STOPWATCH, /* stopwatch */
R_TEST_BRK, /* obs at which break occurs (QLR test) */
R_SCALAR_MAX, /* separator: scalars vs series */
R_INDEX, /* consecutive observations index */
R_PUNIT, /* 1-based panel unit index */
R_OBSMAJ, /* major component of observation (e.g. year) */
R_OBSMIN, /* minor component of observation (e.g. quarter, month) */
R_OBSMIC, /* micro component of observation (e.g. day) */
R_DATES, /* ISO 8601 "basic" dates series */
R_SERIES_MAX, /* separator: series vs matrices */
R_TEST_STAT, /* last test statistic(s) (scalar or matrix) */
R_TEST_PVAL, /* last test p-value(s) (scalar or matrix) */
R_MAX
} RetrievalIndex;
/**
* ModelDataIndex:
*
* Symbolic names for variables that can be retrieved
* from gretl models.
*/
typedef enum {
M_ESS = R_MAX + 1, /* error sum of squares */
M_T, /* observations used */
M_RSQ, /* R-squared */
M_SIGMA, /* standard error of residuals */
M_DF, /* degrees of freedom */
M_NCOEFF, /* total number of estimated coefficients */
M_LNL, /* log-likelihood */
M_GMMCRIT, /* GMM criterion */
M_AIC, /* Akaike info criterion */
M_BIC, /* Bayesian info criterion */
M_HQC, /* Hannan-Quinn criterion */
M_TRSQ, /* T * R-squared, last model */
M_DWPVAL, /* Durbin-Watson p-value, last model */
M_FSTT, /* overall F-statistic, last model */
M_CHISQ, /* overall chi-square stat, last model */
M_DIAGTEST, /* system test for diagonal covariance matrix */
M_DIAGPVAL, /* p-value for the above */
M_SCALAR_MAX, /*** SEPARATOR, scalars/series ***/
M_UHAT, /* residuals */
M_YHAT, /* fitted values */
M_LLT, /* per-observation loglikelihood */
M_AHAT, /* per-unit intercepts in panel model */
M_H, /* GARCH predicted variances */
M_SAMPLE, /* observations used in estimation */
M_UHAT2, /* squared residuals */
M_SERIES_MAX, /*** SEPARATOR, series/matrices ***/
M_COEFF, /* parameter estimates */
M_SE, /* parameter standard errors */
M_VCV, /* parameter covariance matrix */
M_RHO, /* autoregressive coefficients */
M_COMPAN, /* VAR companion matrix */
M_XTXINV, /* VARs, VECMs: X'X^{-1} */
M_VECG, /* VECMs: the Gamma matrices */
M_EVALS, /* VECMs: eigenvalues */
M_JALPHA, /* Johansen's alpha */
M_JBETA, /* Johansen's beta */
M_JVBETA, /* Covariance matrix for Johansen's normalized beta */
M_JS00, /* VECM residual covariance matrix (1st differences) */
M_JS11, /* VECM residual covariance matrix (levels) */
M_JS01, /* VECM residual cross-product matrix */
M_HAUSMAN, /* Hausman test after tsls or fixed effects */
M_SARGAN, /* Sargan over-identification test after tsls */
M_SYSGAM, /* Parameter matrix Gamma (simultaneous systems) */
M_SYSA, /* Parameter matrix A (simultaneous systems) */
M_SYSB, /* Parameter matrix B (simultaneous systems) */
M_FCAST, /* last forecast generated via fcast command */
M_FCERR, /* standard errors associated with M_FCAST */
M_COEFF_CI, /* (asymmetric) confidence intervals for coeffs */
M_KLLT, /* Kalman log-likelihood, per time-step */
M_KUHAT, /* Kalman: current prediction error */
M_EHAT, /* ARMA: vector of estimated innovations */
M_PMANTEAU, /* VAR portmanteau test plus 's' value */
M_MATRIX_MAX, /*** SEPARATOR, end of matrices ***/
M_EC, /* VECM error-correction terms */
M_VMA, /* VARs, VECMs: vector moving average representation */
M_FEVD, /* VAR variance decomposition */
M_MNLPROBS, /* case probabilities for multinomial logit */
M_MBUILD_MAX, /*** SEPARATOR, end of matrix-builders ***/
M_XLIST, /* list of regressors */
M_YLIST, /* list of endogenous variables */
M_LIST_MAX, /*** SEPARATOR, end of lists ***/
M_COMMAND, /* model command word */
M_DEPVAR, /* name of dependent variable */
M_MAX /* sentinel */
} ModelDataIndex;
typedef enum {
B_MODEL = M_MAX + 1, /* last model as bundle */
B_SYSINFO /* system information */
} BundleDataIndex;
#define model_data_scalar(i) (i > R_MAX && i < M_SCALAR_MAX)
#define model_data_series(i) (i > M_SCALAR_MAX && i < M_SERIES_MAX)
#define model_data_matrix(i) (i > M_SERIES_MAX && i < M_MATRIX_MAX)
#define model_data_matrix_builder(i) (i > M_MATRIX_MAX && i < M_MBUILD_MAX)
#define model_data_list(i) (i > M_MBUILD_MAX && i < M_LIST_MAX)
#define model_data_string(i) (i > M_LIST_MAX && i < M_MAX)
typedef struct parser_ GENERATOR;
int generate (const char *line, DATASET *dset,
GretlType gtype, gretlopt opt,
PRN *prn);
GENERATOR *genr_compile (const char *s, DATASET *dset,
GretlType gtype, gretlopt opt,
PRN *prn, int *err);
int execute_genr (GENERATOR *genr, DATASET *dset, PRN *prn);
void destroy_genr (GENERATOR *genr);
int genr_get_output_type (const GENERATOR *genr);
int genr_get_output_varnum (const GENERATOR *genr);
double genr_get_output_scalar (const GENERATOR *genr);
int genr_get_last_output_type (void);
gretl_matrix *genr_get_output_matrix (GENERATOR *genr);
int series_index (const DATASET *dset, const char *varname);
int series_greatest_index (const DATASET *dset, const char *varname);
int current_series_index (const DATASET *dset, const char *vname);
int extract_varname (char *targ, const char *src, int *len);
int genr_fit_resid (const MODEL *pmod, DATASET *dset,
ModelDataIndex idx);
double evaluate_if_cond (GENERATOR *genr, DATASET *dset, int *err);
double generate_scalar (const char *s, DATASET *dset, int *err);
double generate_boolean (const char *s, DATASET *dset, int *err);
int generate_int (const char *s, DATASET *dset, int *err);
double *generate_series (const char *s, DATASET *dset, PRN *prn,
int *err);
gretl_matrix *generate_matrix (const char *s, DATASET *dset,
int *err);
char *generate_string (const char *s, DATASET *dset, int *err);
int *generate_list (const char *s, DATASET *dset, int *err);
int gretl_is_series (const char *name, const DATASET *dset);
int gretl_reserved_word (const char *str);
int genr_special_word (const char *s);
int genr_function_word (const char *s);
int genr_no_assign (const GENERATOR *p);
int genr_is_autoregressive (const GENERATOR *p);
void genr_set_na_check (GENERATOR *genr);
void genr_unset_na_check (GENERATOR *genr);
void genr_reset_uvars (GENERATOR *genr);
int function_from_string (const char *s);
int function_lookup (const char *s);
int const_lookup (const char *s);
double get_const_by_name (const char *name, int *err);
const char *gretl_function_complete (const char *s);
void gretl_function_hash_cleanup (void);
void set_mpi_rank_and_size (int rank, int size);
#endif /* GENMAIN_H */
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