https://github.com/cran/RandomFields
Tip revision: 561d2e242dbc782426b708fb6c42264f09f1e863 authored by Martin Schlather on 22 September 2021, 09:40:09 UTC
version 3.3.10
version 3.3.10
Tip revision: 561d2e2
Options.cc
/*
Authors
Martin Schlather, schlather@math.uni-mannheim.de
library for simulation of random fields
Copyright (C) 20017 -- 2017 Martin Schlather,
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.
RO
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, write to the Free Software
Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
*/
#include <Basic_utils.h>
#include <General_utils.h>
#include <zzz_RandomFieldsUtils.h>
#include "RF.h"
#include "xport_import.h"
#include "init.h"
#define ADD(ELT) SET_VECTOR_ELT(sublist, k++, ELT);
#define ADDCHAR(ELT) x[0] = ELT; ADD(ScalarString(mkChar(x)));
#define nOptimVar 4
const char * OPTIM_VAR_NAMES[nOptimVar] =
{"never", "respect bounds", "try", "yes"}; // keep yes last !!
void ResetWarnings(int * allwarnings) {
internal_param *w = &(GLOBAL.internal);
w->warn_oldstyle = w->warn_newstyle = w->warn_Aniso =
w->warn_normal_mode = w->warn_mode = w->warn_coordinates =
w->warn_on_grid = w->warn_new_definitions = w->warn_aspect_ratio =
w->warn_coord_change = w->warn_color_palette = w->warn_zenit =
w->warn_constant = w->warn_negvar = w->warn_onlyvar =
w->warn_parallel = true;
w->allow_duplicated_loc = false;
w->warn_mathdef = Nan;
if (*allwarnings) w->warn_ambiguous = true;
}
#define startmode normal
#define NM ((int) startmode) /* normal mode */
// {careless, sloppy, easygoing, normal, precise, pedantic, neurotic}
bool
allowdistance0[nr_modes] = {true, false, false, false, false, false, false},
skipchecks[nr_modes] = {true, false, false, false, false, false, false},
ce_force[nr_modes] = {true, true, true, false, false, false, false},
ce_dependent[nr_modes] = {true, true, true, false, false, false, false},
sp_grid[nr_modes] = {true, true, true, true, true, false, false},
fit_reoptimise[nr_modes] = {false, false, false, false, true, true, true},
fit_ratiotest_approx[nr_modes]={true, true, true, true, false, false, false},
fit_cross_refit[nr_modes] = {false, false, false, false, true, true, true}
;
char pch[nr_modes] = {'\0', '\0', '\0', '.', '.', '.', '.'}
;
int locmaxn[nr_modes] = {3000, 4000, 6000, 8000, 9000, 10000000, 10000000},
ce_trials[nr_modes] = {1, 2, 3, 3, 4, 5, 6},
spectral_lines[nr_modes] = {300, 500, 1500, 2500, 3500, 5000, 10000},
tbm_lines[nr_modes] = {30, 40, 50, 60, 80, 100, 200},
mpp_n_estim_E[nr_modes] = {10000, 10000, 20000,50000,80000,100000,1000000},
hyper_superpos[nr_modes] = {200, 300, 450, 700, 1000, 2000, 5000},
maxclique[nr_modes] = {1000, 2000, 3500, 5000, 6000, 7000, 10000000},
fit_critical[nr_modes] = {-1, -1, -1, 0, 1, 2, 3},
fit_ncrit[nr_modes] = { 2, 4, 5, 5, 5, 10, 20},
// fit_optim_var[nr_modes] = { 2, 2, 2, 2, 1, 1, 1} ,
fit_split[nr_modes] = {10000, 5, 4, 4, 4, 3, 3},
sequ_back_initial[nr_modes]={3, 3, 5, 10, 20, 30, 40}
;
usr_bool exactness[nr_modes] = {False, False, False, Nan, True, True, True};
double
ce_tolRe[nr_modes] = {-1e2, -1e1, -1e-3, -1e-7, -1e-14, 0, 0},
ce_tolIm[nr_modes] = {1e2, 1e1, 1e-1, 1e-3, 1e-7, 0, 0},
ce_approx_step[nr_modes] = {1.0, 1.0, RF_NA, RF_NA, RF_NA, 0.0, 0.0},
#ifdef SCHLATHERS_MACHINE
svd_tol[nr_modes] = {1e-5, 1e-6, 1e-7, 1e-8, 1e-10, 1e-12, 0},
#else
svd_tol[nr_modes] = {0, 0, 0, 0, 0, 0, 0},
#endif
nugget_tol[nr_modes] = {1e-8, 1e-8, 1e-12, 0, 0, 0, 0},
tbm_linefactor[nr_modes] = {1.5, 1.5, 1.7, 2.0, 3.0, 5.0, 6.0},
mpp_intensity[nr_modes] = {50, 50, 80, 100, 200, 500, 1000},
mpp_zero[nr_modes] = {1e-2, 1e-2, 1e-3, 1e-4, 1e-5, 1e-6, 1e-7},
max_max_gauss[nr_modes] = {2, 2, 3, 4, 5, 6, 6},
fit_pgtol[nr_modes] ={10, 1e-2, 1e-3, 1e-4, 1e-4, 1e-6, 0},
fit_pgtol_recall[nr_modes]={10, 1e-1, 1e-2, 1e-3, 1e-3, 1e-4, 0},
fit_factr[nr_modes] ={1e14, 1e13, 1e12, 1e11, 1e11, 1e9, 1e7},
fit_factr_recall[nr_modes]={1e15, 1e14, 1e13, 1e12, 1e12, 1e10, 1e8}
;
const char *f_opt[nr_modes] = {"optim", "optim", "optim", "optim", "optim", "optim", "optim"}; // to do optimx
int
PL = 1,
CORES = INITCORES, // FINITE
NS = NAT_SCALE;
globalparam GLOBAL = {
general_START,
gauss_START,
krige_START,
ce_START,
spectral_START,
tbm_START,
direct_START,
sequ_START,
ave_START,
nugget_START,
mpp_START,
hyper_START,
extreme_START,
br_START,
distr_START,
fit_START,
empvario_START,
gui_START,
graphics_START,
register_START,
internal_START,
coords_START,
special_START
};
utilsparam *GLOBAL_UTILS;
void SetDefaultOutputModeValues(output_modes mode){
general_param *gp = &(GLOBAL.general);
gp->output = mode;
gp->sp_conform = mode == output_sp;
gp->returncall = mode == output_geor;
gp->reportcoord =
mode == output_geor ? reportcoord_always : reportcoord_warnings;
/*
switch(mode) {
case output_sp :
break;
case output_rf :
break;
case output_geor :
break;
default: BUG;
}
*/
}
void SetDefaultModeValues(int old, int m){
// high fast, normal, save, pedantic
GLOBAL_UTILS->basic.skipchecks = skipchecks[m];
GLOBAL.general.pch = pch[m];
GLOBAL.general.exactness = exactness[m];
GLOBAL.general.allowdist0 = allowdistance0[m];
GLOBAL.krige.locmaxn = locmaxn[m];
GLOBAL.krige.locsplitn[0] = MINSPLITN(locmaxn[m]);
GLOBAL.krige.locsplitn[1] = MEDSPLITN(locmaxn[m]);
GLOBAL.krige.locsplitn[2] = MAXSPLITN(locmaxn[m]);
GLOBAL.ce.force = ce_force[m];
GLOBAL.ce.tol_im = ce_tolIm[m];
GLOBAL.ce.tol_re = ce_tolRe[m];
GLOBAL.ce.trials = ce_trials[m];
GLOBAL.ce.dependent = ce_dependent[m];
GLOBAL.ce.approx_grid_step = ce_approx_step[m];
GLOBAL_UTILS->solve.svd_tol = svd_tol[m];
GLOBAL.nugget.tol = nugget_tol[m];
for(int i=0; i<4; GLOBAL.spectral.lines[i++] = spectral_lines[m]);
GLOBAL.spectral.grid = sp_grid[m];
GLOBAL.tbm.lines[1] = tbm_lines[m];
GLOBAL.tbm.lines[2] = (tbm_lines[m] * 25) / 6;
GLOBAL.tbm.linesimufactor = tbm_linefactor[m];
GLOBAL.tbm.grid = sp_grid[m];
GLOBAL.mpp.n_estim_E = mpp_n_estim_E[m];
for(int i=0; i<4; GLOBAL.mpp.intensity[i++] = mpp_intensity[m]);
GLOBAL.mpp.about_zero = mpp_zero[m];
GLOBAL.hyper.superpos = hyper_superpos[m];
GLOBAL.extreme.standardmax = max_max_gauss[m];
GLOBAL.fit.locmaxn = maxclique[m];
GLOBAL.fit.locsplitn[0] = MINCLIQUE(maxclique[m]);
GLOBAL.fit.locsplitn[1] = MEDCLIQUE(maxclique[m]);
GLOBAL.fit.locsplitn[2] = MAXCLIQUE(maxclique[m]);
fit_param *f = &(GLOBAL.fit);
f->split = fit_split[m];
f->reoptimise = fit_reoptimise[m];
f->ratiotest_approx = fit_ratiotest_approx[m];
f->cross_refit = fit_cross_refit[m];
f->critical = fit_critical[m];
f->n_crit = fit_ncrit[m];
f->pgtol = fit_pgtol[m];
f->pgtol_recall = fit_pgtol_recall[m];
f->factr = fit_factr[m];
f->factr_recall = fit_factr_recall[m];
// f->optim_var_estim = fit_optim_var[m];
char dummy[10];
STRCPY(dummy, f_opt[m]);
f->optimiser = Match(dummy, OPTIMISER_NAMES, nOptimiser);
GLOBAL.sequ.initial = -(GLOBAL.sequ.back = sequ_back_initial[m]);
// printf("optimiser %d %.50s\n", f->optimiser, OPTIMISER_NAMES[f->optimiser]);
internal_param *w = &(GLOBAL.internal);
w->stored_init = false;
if (m < normal) {
w->warn_Aniso = w->warn_ambiguous =
w->warn_on_grid = w->warn_aspect_ratio = w->warn_color_palette = false;
w->warn_mathdef = False;
} else if (m>old) {
w->warn_oldstyle = w->warn_Aniso = w->warn_new_definitions =
w->warn_aspect_ratio = true;
w->warn_mathdef = Nan;
if (m > normal) w->warn_ambiguous = w->warn_negvar = true;
}
if (m != normal && w->warn_mode) {
// hier: Syscall param sched_setaffinity(mask) points to unaddressable byte
PRINTF("Note that the option '%.50s' is still in an experimental stage, so that the behaviour may change (slightly) in future.\n", general[GENERAL_MODUS]);
w->warn_mode = false;
}
}
void getUnits(SEXP el, char VARIABLE_IS_NOT_USED *name,
char units[MAXCOOORDNAMES][MAXUNITSCHAR],
char units2[MAXCOOORDNAMES][MAXUNITSCHAR]) {
int i, j,
l = length(el);
if (TYPEOF(el) != NILSXP && TYPEOF(el) == STRSXP && l >= 1) {
for (i=j=0; i<MAXCOOORDNAMES; i++, j=(j + 1) % l) {
strcopyN(units[i], CHAR(STRING_ELT(el, j)), MAXUNITSCHAR);
if (units2!=NULL) {
strcopyN(units2[i], CHAR(STRING_ELT(el, j)), MAXUNITSCHAR);
}
}
} else RFERROR("invalid units");
}
SEXP UNITS(char units[MAXCOOORDNAMES][MAXUNITSCHAR]) {
SEXP unitnames;
int nn;
PROTECT(unitnames = allocVector(STRSXP, MAXCOOORDNAMES));
for (nn=0; nn<MAXCOOORDNAMES; nn++) {
SET_STRING_ELT(unitnames, nn, mkChar(units[nn]));
}
UNPROTECT(1);
return unitnames;
}
void CE_set(SEXP el, int j, char *name, ce_param *cp, bool isList) {
switch(j) {
case 0: cp->force = LOGI; break;
case 1:
Real(el, name, cp->mmin, MAXCEDIM) ;
int d;
for (d=0; d<MAXCEDIM; d++) {
if (cp->mmin[d]<0.0) {
if ((cp->mmin[d]>-1.0)) {
cp->mmin[d] = - 1.0;
WARN1("'%.50s' set to -1.0.\n", name);
}
}
}
break;
case 2: int strat;
strat = INT;
if (strat>LASTSTRATEGY) {
WARN2("%.50s <= %d not satisfied\n", name, LASTSTRATEGY);
} else cp->strategy= (char) strat;
break;
case 3: {
cp->maxGB = POSNUM;
if (!isList) cp->maxmem = MAXINT;
} break;
case 4: {
cp->maxmem = POSINT;
if (!isList) cp->maxGB = RF_INF;
} break;
case 5: cp->tol_im = POS0NUM; break;
case 6: cp->tol_re = NEG0NUM; break;
case 7: cp->trials = NUM;
if (cp->trials<1) {
cp->trials=1;
WARN1("%.50s is set to 1\n", name);
}
break;
case 8: cp->useprimes = LOGI; break;
case 9: cp->dependent = LOGI; break;
case 10: cp->approx_grid_step = POS0NUM; break;
case 11: cp->maxgridsize = POS0INT; break;
default: RFERROR("unknown parameter for GLOBAL.general");
}
}
#define prefixN 23
const char * prefixlist[prefixN] =
{"general", "gauss", "krige",
"circulant", "direct", "nugget",
"sequ", "spectral", "tbm",
"mpp", "hyper", "maxstable", // 11
"br", "distr", "fit", // 14
"empvario", "gui", "graphics",// 17
"registers", "internal", "coords", // 20
"special", OBSOLETENAME // 22
};
// IMPORTANT: all names of general must be at least 3 letters long !!!
const char *general[generalN] =
{ "modus_operandi", "storing", "every", "gridtolerance", // 3
"pch", "practicalrange", "spConform", // 6
"exactness", "allowdistanceZero", "na_rm_lines",
"vdim_close_together", "expected_number_simu", // 11
"detailed_output", "Ttriple",
"returncall", "output", "reportcoord", "set", // 17
"seed_incr", "seed_sub_incr"
};
const char *gauss[gaussN]= {"paired", "stationary_only", "approx_zero",
"direct_bestvar", "loggauss", "boxcox"};
const char *krige[krigeN] = { "return_variance", "locmaxn",
"locsplitn", "locsplitfactor", "fillall"};
const char *CE[CEN] = {"force", "mmin", "strategy", "maxGB",
"maxmem", "tolIm","tolRe",
"trials", "useprimes", "dependent",
"approx_step", "approx_maxgrid"};
const char *direct[directN] = {//"root_method", "svdtolerance",
"max_variab"};
const char * pnugget[pnuggetN] ={"tol"};
const char * sequ[sequN] ={"back_steps", "initial"};
const char * spectral[spectralN] = {"sp_lines", "sp_grid",
"prop_factor", "sigma"};
const char * pTBM[pTBMN] = {"reduceddim", "fulldim", "center",
"points", "lines", "linessimufactor",
"linesimustep", "layers", "grid"};
const char * mpp[mppN] = {"n_estim_E", // n to determine E by simulation
"intensity",
// "refradius_factor",
"about_zero", "shape_power",
"scatter_max", "scatter_step",
// "plus",
// "samplingdist", "samplingr",// MPP_cc
//"p", // Gneiting_cc
};
const char * hyper[hyperN] = {"superpos", "maxlines", "mar_distr",
"mar_param"};
const char * extreme[extremeN] =
{"max_gauss", "maxpoints", "xi",
"density_ratio", "check_every", "flathull",
"min_n_zhou", "max_n_zhou", "eps_zhou",
"mcmc_zhou", "min_shape_gumbel", "scatter_method"};
const char * br[brN] =
{"maxtrendmem", "meshsize",
"vertnumber", "optim_mixed", "optim_mixed_tol",
"variobound", "deltaAM"};
const char * distr[distrN] =
{"safety", "minsteplen", "maxsteps",
"parts", "maxit", "innermin",
"outermax", "mcmc_n", "repetitions"};
const char * fit[fitN] =
{"bin_dist_factor", "upperbound_scale_factor", "lowerbound_scale_factor", //2
"lowerbound_scale_ls_factor","upperbound_var_factor","lowerbound_var_factor",
//"lowerbound_sill",
"scale_max_relative_factor", "minbounddistance", "minboundreldist", //8
"approximate_functioncalls", "boxcox_lb", "boxcox_ub", //11
"use_naturalscaling", "bins", "nphi", //14
"ntheta", "ntime", "only_users", //17
"shortnamelength", "split", "scale_ratio", //20
"critical", "n_crit", "max_neighbours", //23
"cliquesize", "splitfactor_neighbours", "smalldataset",
"min_diag", "reoptimise", "optimiser",
"algorithm", "likelihood", "ratiotest_approx",
"split_refined", "cross_refit", "estimate_variance_globally",
"pgtol", "pgtol_recall", "factr",
"factr_recall" ,"use_pseudovariogram"
};
const char * empvario[empvarioN] =
{"phi0", "theta0", "tol0",
"pseudovariogram", "fft", "halvenangles"};
const char * gui[guiN] =
{"alwaysSimulate", "simu_method", "size"};
const char *graphics[graphicsN]=
{"close_screen" ,"grPrintlevel", "height",
"increase_upto", "always_open_device", "file",
"onefile", "filenumber", "resolution", "split_screen", "width",
"always_close_device", "grDefault"};
const char *registers[registersN] =
{"register", "predict_register", "likelihood_register"};
const char * internals[internalN] = {
// Achtung ! warn parameter werden nicht pauschal zurueckgesetzt
"warn_oldstyle", "warn_newstyle", "warn_newAniso",
"warn_ambiguous", "warn_normal_mode", "warn_mode",
"stored.init", "warn_scale", "warn_coordinates",
"warn_on_grid", "warn_new_definitions", "warn_aspect_ratio",
"warn_coord_change", "warn_colour_palette", "warn_missing_zenit",
"do_tests", "warn_constant", "warn_negvar",
"warn_onlyvar", "warn_definite", "examples_reduced",
"warn_parallel", "allow_duplicated_locations", "warn_seed",
"declare_PL", // unused ?!!
"warn_modus_operandi"
};
const char *coords[coordsN] =
{ "xyz_notation", "coord_system", "new_coordunits", "coordunits", "varunits",
"varidx", "varnames", "coordidx", "coordnames", "new_coord_system",
"zenit", // "radius",
"polar_coord", "angleunits", "allow_earth2cart"};
const char * special[specialN] = {"multicopies"};
const char * obsolete[obsoleteN] =
{ "oldstyle", "newstyle", "newAniso",
"ambiguous", "normal_mode", "solvesigma",
"optim_var_elimination", "sill",
"matrix_inversion", "matrix_tolerance"
};
const char **all[prefixN] = {general, gauss, krige, CE, direct,
pnugget, sequ, spectral, pTBM, mpp,
hyper, extreme, br, distr, fit,
empvario, gui, graphics, registers, internals,
coords, special, obsolete};
int allN[prefixN] = {generalN, gaussN, krigeN, CEN, directN,
pnuggetN, sequN, spectralN, pTBMN, mppN,
hyperN, extremeN, brN, distrN, fitN,
empvarioN, guiN, graphicsN, registersN, internalN,
coordsN, specialN, obsoleteN};
globalparam *WhichOptionList(int local) {
globalparam *ans = &GLOBAL;
if (local != isGLOBAL) {
KEY_type *KT = KEYT();
ans = &(KT->global);
}
return ans;
}
void setparameter(int i, int j, SEXP el, char name[200], bool isList,
int local) {
// printf("setparameter %.50s %d %d\n", name, i, j);
// printf("sp %d %d ", i, j);
globalparam *options = WhichOptionList(local);
//bool isList = options == &GLOBAL;
switch(i) {
case 0: {// general
general_param *gp;
gp = &(options->general);
switch(j) {
case GENERAL_MODUS: {
int old_mode = gp->mode;
gp->mode = GetName(el, name, MODE_NAMES, nr_modes, normal);
#ifndef SCHLATHERS_MACHINE
if (old_mode != gp->mode && GLOBAL.internal.warn_modus_operandi) {
PRINTF("\n"); //verstehe wer will -- es gab hier eine valgrind warning
PRINTF("Note that behaviour of 'modus_operandi' has changed within 'RFfit' in version 3.1.0 of RandomFields. Roughly:\nwhat was called 'careless' is now called 'sloppy';\n");
PRINTF("what was called 'sloppy' is now called 'easygoing';\nwhat was called 'easygoing' is now called 'normal';\nwhat was called 'normal' is now called 'precise';\netc.\n");
GLOBAL.internal.warn_modus_operandi = false;
}
#endif
SetDefaultModeValues(old_mode, gp->mode);
}
break;
case GENERAL_STORING: {
gp->storing = LOGI;
if (!gp->storing) {
if (length(el) > 1) {
int len = length(el);
for (int elnr=1; elnr < len; elnr++) {
int nr = Integer(el, (char*) "storing (register)", elnr);
if (nr != NA_INTEGER && nr>=0 && nr<=MODEL_MAX) {
model **key = KEY() + nr;
if (*key != NULL) COV_DELETE(key, NULL);
}
}
} else {
// delete all keys
for (int kn=0; kn<PIDMODULUS; kn++) {
KEY_type *KT = PIDKEY[kn];
while (KT != NULL) {
KEY_type *q = KT;
KT = KT->next;
KEY_type_DELETE(&q);
}
PIDKEY[kn] = NULL;
}
}
}
}
break;
case 2: gp->every = POS0INT; break;
case 3: gp->gridtolerance = NUM; break;
case 4: gp->pch = CHR; break;
case 5:
int n;
n =INT;
if (n!=0 && n!=1 && n!=2 && n!=3)
RFERROR("PracticalRange out of range. It should be TRUE or FALSE.");
NS = gp->naturalscaling = n;
break;
case 6:
SetDefaultOutputModeValues(LOGI ? output_sp : output_rf);
break;
case GENERAL_EXACTNESS: gp->exactness = USRLOG; break;
case 8: gp->allowdist0 = LOGI; break;
case 9: gp->na_rm_lines = LOGI; break;
case GENERAL_CLOSE: gp->vdim_close_together = LOGI;
if (gp->vdim_close_together) {
gp->vdim_close_together = false;
RFERROR1("'%.50s' will likely not be programmed", general[GENERAL_CLOSE]);
// Achtung! gausslikeli.cc waere stark betroffen!!
}
break;
case 11: gp->expected_number_simu = POS0INT; break;
case 12: gp->detailed_output = LOGI; break;
case 13: gp->Ttriple = INT; break;
case 14: gp->returncall = LOGI; break;
case 15:
SetDefaultOutputModeValues((output_modes)
GetName(el, name, OUTPUTMODE_NAMES,
nr_output_modes, gp->output));
break;
case GENERAL_REPORTCOORD:
gp->reportcoord = GetName(el, name, REPORTCOORD_NAMES,
nr_reportcoord_modes, gp->reportcoord);
break;
case 17: gp->set = POSINT - 1; break;
case 18: gp->seed_incr = INT; break;
case 19: gp->seed_sub_incr = INT; break;
default: BUG;
}}
break;
case 1: { // gauss
gauss_param *gp;
gp = &(options->gauss);
switch(j) {
case 0: gp->paired = LOGI; break;
case 1: gp->stationary_only = USRLOG; break;
case 2: gp->approx_zero = POS0NUM; break;
case GAUSS_BEST_DIRECT: gp->direct_bestvariables = POS0INT; break;
case 4: gp->loggauss = LOGI;
if (gp->loggauss) gp->boxcox[0] = RF_INF;
break;
case GAUSS_BOXCOX_OPTION: {
int len = length(el);
double boxcox[2 * MAXBOXCOXVDIM];
if (len < 1 || (len > 2 && len % 2 != 0))
RFERROR1("'%.50s' not a scalar or vector/matrix of multiple of length 2",
gauss[GAUSS_BOXCOX_OPTION]);
boxcox[1] = 0.0;
for (int L=0; L<len; L++) boxcox[L] = Real(el, name, L);
if (len == 1) len = 2;
for (int k=0; k<len; k++) {
if (R_FINITE(boxcox[k])) {
if (boxcox[k] < options->fit.BC_lambdaLB[k])
RFERROR6("%10g=%.50s[%d] < %.50s[%d]=%10g.",
boxcox[k], gauss[GAUSS_BOXCOX_OPTION], k, fit[FIT_BC_LB],k,
options->fit.BC_lambdaLB[k]);
if (boxcox[k] > options->fit.BC_lambdaUB[k])
RFERROR6("%10g=%.50s[%d] > %.50s[%d]=%10g.",
boxcox[k],gauss[GAUSS_BOXCOX_OPTION], k, fit[FIT_BC_UB], k,
options->fit.BC_lambdaUB[k]);
}
}
for (int k=0; k<len; k++) gp->boxcox[k] = boxcox[k];
if (ISNA(gp->boxcox[0]) || gp->boxcox[0] != RF_INF) gp->loggauss = false;
}
break;
default: BUG;
}}
break;
case 2: { // krige
krige_param *kp;
kp = &(options->krige);
switch(j) {
case 0: kp->ret_variance = LOGI; break;
case 1: kp->locmaxn = POS0INT; break;
case KRIGE_SPLITN: {
int newval[3],
len = length(el);
if (len < 3) RFERROR1("'%.50s' must have 3 components", krige[KRIGE_SPLITN]);
for (int ii=0; ii<len; ii++) {
newval[ii] = Integer(el, name, ii);
}
if (newval[0] > newval[1] || newval[1] > newval[2]) {
RFERROR6("%.50s[1] <= %.50s[2] <= %.50s[3] not satisfied [ %d %d %d ]",
krige[KRIGE_SPLITN], krige[KRIGE_SPLITN], krige[KRIGE_SPLITN],
newval[0], newval[1], newval[2]
);
}
for (int ii=0; ii<len; ii++) kp->locsplitn[ii] = newval[ii];
}
break;
case 3: kp->locsplitfactor = POS0INT; break;
case 4: kp->fillall = LOGI; break;
default: BUG;
}}
break;
case 3: // CE
CE_set(el, j, name, &(options->ce), isList);
break;
case 4: { //direct
direct_param *dp;
dp = &(options->direct);
switch(j) {
case DIRECT_MAXVAR_PARAM : {
int mv = POS0INT;
if (mv <= options->gauss.direct_bestvariables) {
RFERROR3("'%.50s' must be greater than '%.50s' = %d.\n",
direct[DIRECT_MAXVAR_PARAM], gauss[GAUSS_BEST_DIRECT],
options->gauss.direct_bestvariables);
}
//#define MAX_DIRECT_MAXVAR 30000
if (mv > MAX_DIRECT_MAXVAR) {
if (dp->maxvariables <= MAX_DIRECT_MAXVAR) {
WARN3("'%.50s' should better not exceed %d. The option 'max_chol' of package RandomFieldsUtils has also been set to %d.\n",
direct[DIRECT_MAXVAR_PARAM], MAX_DIRECT_MAXVAR, mv);
}
}
dp->maxvariables = mv;
GLOBAL_UTILS->solve.max_chol = MAX(mv, DIRECT_ORIG_MAXVAR);
}
break;
default: BUG;
}}
break;
case 5: {// pnugget,
nugget_param *np;
np = &(options->nugget) ;
switch(j) {
case 0: np->tol = POS0NUM; break;
default: BUG;
}}
break;
case 6: {//sequ,
sequ_param *sp;
sp = &(options->sequ) ;
switch(j) {
case 0: sp->back = INT; if (sp->back < 1) sp->back=1; break;
case 1: sp->initial = INT; break;
default: BUG;
}}
break;
case 7: { // spectral,
spectral_param *sp;
sp = &(options->spectral) ;
switch(j) {
case 0: Integer(el, name, sp->lines, MAXTBMSPDIM); break;
case 1: sp->grid = LOGI; break;
case SPECTRAL_PROPFACTOR: sp->prop_factor = POS0NUM;
if (sp->prop_factor <= 0.1) {
sp->prop_factor=0.1;
WARN1("'%.50s' less than 0.1. Set to 0.1.", spectral[SPECTRAL_PROPFACTOR]);
}
break;
case 3: sp->sigma = NUM; break;
default: BUG;
}}
break;
case 8: {// TBM
tbm_param *tp;
tp = &(options->tbm) ;
switch(j) {
case 0: tp->tbmdim = INT; break;
case 1: tp->fulldim = POS0INT; break;
case 2: Real(el, name, tp->center, MAXTBMSPDIM); break;
case 3: tp->points = POS0INT; break;
case 4: Integer(el, name, tp->lines, MAXTBMDIM); break;
case 5:
tp->linesimufactor = Real(el, name, 0);
if (tp->linesimufactor < 0.0) {
warning("Both 'linesimufactor' and 'linesimustep' must be non-negative.");
tp->linesimufactor = 0.0;
}
if (tp->linesimufactor>0.0 && tp->linesimustep>0.0) tp->linesimustep=0.0;
break;
case 6:
tp->linesimustep = Real(el, name, 0);
if (tp->linesimustep < 0.0) {
warning("Both 'linesimufactor' and 'linesimustep' must be non-negative.");
tp->linesimustep = 0.0;
}
if (tp->linesimufactor>0.0 && tp->linesimustep>0.0)
tp->linesimufactor=0.0;
break;
case 7:
tp->layers = UsrBool(el, name, 0);
break;
case 8:
tp->grid = LOGI; break;
default: BUG;
}}
break;
case 9: {// mpp,
mpp_param *mp;
mp = &(options->mpp);
switch(j) {
case 0: mp->n_estim_E = POS0INT; break;
case 1: Real(el, name, mp->intensity, MAXMPPDIM); break;
// case 2: mp->refradius_factor = POS0NUM; break;
case 2: mp->about_zero = POS0NUM; break;
case 3: mp->shape_power = NUM; break;
case 4: {
Integer(el, name, mp->scatter_max, MAXMPPDIM) ;
}
break;
case 5: {
Real(el, name, mp->scatter_step, MAXMPPDIM) ;
}
break;
default: BUG;
}}
break;
case 10: {//hyper,
hyper_param *hp;
hp = &(options->hyper);
switch(j) {
case 0: hp->superpos = POS0INT; break;
case 1: hp->maxlines = POS0INT; break;
case 2: hp->mar_distr = INT; break;
case 3: hp->mar_param = NUM; break;
default: BUG;
}}
break;
case 11: {// extreme
extremes_param *ep;
ep = &(options->extreme);
switch(j) {
case 0: ep->standardmax = POS0NUM; break;
case 1: ep->maxpoints = POS0INT; break;
case 2: ep->GEV_xi = NUM; break;
case 3: ep->density_ratio = POS0NUM; break;
case 4: ep->check_every = POS0INT; break;
case EXTREME_FLAT: ep->flathull = USRLOG;
// if (ep->flathull != False)
// RFERROR1("currently only '%.50s=FALSE' allowed", extreme[EXTREME_FLAT]);
// Programmierfehler in Huetchen.c
break;
case 6: ep->min_n_zhou = POSINT; break;
case 7: ep->max_n_zhou = POSINT; break;
case 8: ep->eps_zhou = POSNUM; break;
case 9: ep->mcmc_zhou = POSINT; break;
case 10: ep->min_shape_gumbel = NEG0NUM; break;
case 11: ep->scatter_method =
(coord_sys_enum) GetName(el, name, POISSON_SCATTER_NAMES,
nPOISSON_SCATTER, POISSON_SCATTER_ANY);
break;
default: BUG;
}}
break;
case 12 : { // br
br_param *ep;
ep = &(options->br);
switch(j) {
case 0: ep->BRmaxmem = POSINT; break;
case 1: ep->BRmeshsize = POSNUM; break;
case 2: ep->BRvertnumber = POSINT; break;
case 3: ep->BRoptim = POS0INT; break;
case 4: ep->BRoptimtol = POS0NUM; break;
case 5: ep->variobound = NUM; break;
case 6: ep->deltaAM = POSINT; break;
default: BUG;
}}
break;
case 13 : {// distr
distr_param *ep;
ep = &(options->distr);
switch(j) {
case 0: ep->safety=POSNUM; break;
case 1: ep->minsteplen=POS0NUM; break;
case 2: ep->maxsteps=POSINT; break;
case 3: ep->parts=POSINT; break;
case 4: ep->maxit=POSINT; break;
case 5: ep->innermin=POSNUM; break;
case 6: ep->outermax=POSNUM; break;
case 7: ep->mcmc_n=POSNUM; break;
case 8: ep->repetitions=POSNUM; break;
default: BUG;
}}
break;
case 14: { // fit
fit_param *ef;
ef = &(options->fit);
switch(j) {
case 0: ef->bin_dist_factor = POS0NUM; break; //
case 1: ef->upperbound_scale_factor = POS0NUM; break; //
case 2: ef->lowerbound_scale_factor = POS0NUM; break; //
case 3: ef->lowerbound_scale_LS_factor = POS0NUM; break; //
case 4: ef->upperbound_var_factor = POS0NUM; break; //
case 5: ef->lowerbound_var_factor = POS0NUM; break;//
// case 6: ef->lowerbound_sill = POS0NUM; break;
case 6: ef->scale_max_relative_factor = POS0NUM; break; //
case 7: ef->minbounddistance = POS0NUM; break;//
case 8: ef->minboundreldist = POS0NUM; break;//
case 9: ef->approximate_functioncalls = POS0INT; break; //
case FIT_BC_LB: Real(el, name, ef->BC_lambdaLB, 2 * MAXBOXCOXVDIM); break;//
case FIT_BC_UB: Real(el, name, ef->BC_lambdaUB, 2 * MAXBOXCOXVDIM); break;//
case 12: ef->use_naturalscaling = LOGI; break;
case 13: ef->bins = POS0INT; break;//
case 14: ef->nphi = POS0INT; break;//
case 15: ef->ntheta = POS0INT; break; //
case 16: ef->ntime = POS0INT; break;//
case 17: ef->onlyuser = LOGI; break;
case 18: { // mle
int ii=POS0INT;
if (ii==0) { ii = 1; warning("shortnamelength set to 1"); }
if (ii >= LENMSG) {
ii = LENMSG - 1;
WARN1("shortnamelength set to %d", ii);
}
ef->lengthshortname=ii;
}
break;
case 19: ef->split = INT; break;
case 20: ef->scale_ratio = NUM; break;//
case 21: ef->critical = INT; break;//
case 22: ef->n_crit = POS0INT; break;///
case FIT_MAXNEIGHBOUR: ef->locmaxn = POS0INT; break;//
case FIT_CLIQUE: {
int newval[3],
len = length(el);
if (len < 1 || len > 3)
RFERROR1("'%.50s' must have between 1 and 3 components", fit[FIT_CLIQUE]);
for (int ii=0; ii<len; ii++) newval[ii] = Integer(el, name, ii);
if (len == 1) newval[1] = newval[2] = newval[0];
else if (len == 2) {
newval[2] = newval[1];
newval[1] = (int) SQRT((double) newval[1] * newval[0]);
}
if (newval[0] > newval[1] || newval[1] > newval[2])
RFERROR3("%.50s[1] <= %.50s[2] <= %.50s[3] not satisfied",
fit[FIT_CLIQUE], fit[FIT_CLIQUE], fit[FIT_CLIQUE]
);
for (int ii=0; ii<3; ii++) ef->locsplitn[ii] = newval[ii];
break;
}
case 25: ef->locsplitfactor = POS0INT; break;//
case 26: ef->smalldataset = POS0INT; break;//
case 27: ef->min_diag = NUM; break;//
case 28: ef->reoptimise = LOGI; break;
case 29: ef->optimiser = GetName(el, name, OPTIMISER_NAMES, nOptimiser, 0); //
break;
case 30:
switch(ef->optimiser) {
case 3 : ef->algorithm = GetName(el, name, NLOPTR_NAMES, nNLOPTR); //
break;
default: ef->algorithm = UNSET;
}
break;
case 31: ef->likelihood =
GetName(el, name, LIKELIHOOD_NAMES, nLikelihood); ; break;
case 32: ef->ratiotest_approx = LOGI; break;
case 33: ef->split_refined = LOGI; break;
case 34: ef->cross_refit = LOGI; break;
case 35: ef->estimate_variance = USRLOG; break;
case 36: ef->pgtol = POSNUM; break;//
case 37: ef->pgtol_recall = POSNUM; break;//
case 38: ef->factr = POSNUM; break;//
case 39: ef->factr_recall = POSNUM; break;//
case 40: ef->use_pseudovariogram = LOGI; break;
default: BUG;
}}
break;
case 15: { // empvario
empvario_param *ep;
ep = &(options->empvario);
switch(j) {
case 0: ep->phi0=NUM; break;
case 1: ep->theta0=NUM; break;
case 2: ep->tol=NUM; break;
case 3: ep->pseudovariogram = LOGI; break;
case 4: ep->fft = LOGI; break;
case 5: ep->halveangles = LOGI; break;
default: BUG;
}}
break;
case 16: { // gui
gui_param *gp;
gp = &(options->gui);
switch(j) {
case 0: gp->alwaysSimulate = LOGI; break;
case 1:
gp->method = GetName(el, name, METHOD_NAMES, Forbidden + 1, Nothing);
break;
case GUI_SIZE: {
int sizedummy[2];
if (length(el) != 2) RFERROR1("length of '%.50s' must be 2", gui[GUI_SIZE]);
Integer(el, name, sizedummy, 2);
for (int ii=0; ii<2; ii++) {
if (sizedummy[ii] <= 1)
RFERROR("grid in RFgui must contain at least 2 points");
}
for (int ii=0; ii<2; ii++) { gp->size[ii] = sizedummy[ii]; }
}
break;
default: BUG;
}}
break;
case 17: { // graphics
// printf("not ok\n"); break;
graphics_param *gp = &(options->graphics);
switch(j) {
case 0 : gp->close_screen = LOGI; break;
case 1 : gp->PL = INT; break;
case 2 : gp->height = NUM; break;
case GRAPHICS_UPTO : {
int uptodummy[2];
if (length(el) != 2)
RFERROR1("length of '%.50s' must be 2", graphics[GRAPHICS_UPTO]);
Integer(el, name, uptodummy, 2);
for (int ii=0; ii<2; ii++) {
if (uptodummy[ii] <= 0) RFERROR("increase_upto must be positive");
}
for (int ii=0; ii<2; ii++) { gp->increase_upto[ii] = uptodummy[ii]; }
}
break;
case 4 : gp->always_open = USRLOG;
break;
case 5 :
if (!isList) {
char old[100];
strcopyN(old, gp->filename, 100);
STR(gp->filename, 100);
if (!gp->onefile && STRCMP(gp->filename, old) !=0) gp->number = 0;
}
break;
case 6 : if (!isList) {
bool onefile = gp->onefile;
gp->onefile = LOGI;
if (!gp->onefile && onefile) gp->number = 0;
} break;
case 7 : if (!isList) {
gp->number = INT;
}
break;
case 8 : gp->resolution = POSNUM; break;
case 9 : gp->split_screen = LOGI; break;
case 10 : gp->width = NUM; break;
case 11 : gp->always_close = USRLOG; break;
case 12 : gp->grDefault = LOGI; break;
default: BUG;
}}
break;
/*
case 20: { // empvario
empvario_param *ep;
ep = &(options->empvario);
switch(j) {
case 0:
default: RFERROR("unknown option (empvario)");
}}
break;
*/
case 18 : {
registers_param *rp = &(options->registers);
switch(j) {
case 0: { // simu
int keynr = INT;
if ((keynr<0) || (keynr>MODEL_MAX)) RFERROR("register number out of range");
rp->keynr=keynr; }
break;
case 1: { // predict
int predict = INT;
if ((predict<0) || (predict>MODEL_MAX))
RFERROR("register number out of range");
rp->predict=predict; }
break;
case 2: { // likelihood
int likelihood = INT;
if ((likelihood<0) || (likelihood>MODEL_MAX))
RFERROR("register number out of range");
rp->likelihood=likelihood; }
break;
default: BUG;
}}
break;
case 19: {
internal_param *wp = &(options->internal);
// ACHTUNG internal wird nicht pauschal zurueckgesetzt !
if (!isList) {
switch(j) {
case 0: wp->warn_oldstyle = LOGI; break;
case 1: wp->warn_newstyle = LOGI; break;
case INTERNALS_NEWANISO: wp->warn_Aniso = LOGI; break;
case 3: wp->warn_ambiguous = LOGI; break;
case 4: wp->warn_normal_mode = LOGI; break;
case 5: wp->warn_mode = LOGI; break;
case INTERNALS_STORED_INIT: wp->stored_init = LOGI; break;
case 7: wp->warn_scale = LOGI; break;
case 8: wp->warn_coordinates = LOGI; break;
case INTERNALS_ONGRID: wp->warn_on_grid = LOGI; break;
case 10: wp->warn_new_definitions = LOGI; break;
case 11: wp->warn_aspect_ratio = LOGI; break;
case INTERNALS_COORD_CHANGE: wp->warn_coord_change = LOGI; break;
case 13: wp->warn_color_palette = LOGI; break;
case INTERNALS_ZENIT: wp->warn_zenit = LOGI; break;
case INTERNALS_DO_TESTS: wp->do_tests = LOGI; break;
case 16: wp->warn_constant = LOGI; break;
case 17: wp->warn_negvar = LOGI; break;
case 18: wp->warn_onlyvar = LOGI; break;
case 19: wp->warn_mathdef = USRLOG; break;
case INTERNALS_EX_RED: wp->examples_reduced= POS0INT;
if (wp->examples_reduced > 0 &&
wp->examples_reduced < MAX_LEN_EXAMPLES)
wp->examples_reduced = MAX_LEN_EXAMPLES;
break;
case INTERNALS_PARALLEL : wp->warn_parallel = LOGI; break;
case 22: wp->allow_duplicated_loc = LOGI; break;
case 23: wp->warn_seed = LOGI; break;
case 24: wp->declare_PL = POS0INT; break;
case 25: wp->warn_modus_operandi = LOGI; break;
default: BUG;
}
} else {
switch(j) {
case INTERNALS_STORED_INIT: wp->stored_init = LOGI; break;
case INTERNALS_ONGRID : wp->warn_on_grid = LOGI; break;
case INTERNALS_COORD_CHANGE: wp->warn_coord_change = LOGI; break;
case INTERNALS_ZENIT: wp->warn_zenit = LOGI; break;
case INTERNALS_DO_TESTS: wp->do_tests = LOGI; break;
case INTERNALS_EX_RED: wp->examples_reduced= POS0INT;
if (wp->examples_reduced > 0 &&
wp->examples_reduced < MAX_LEN_EXAMPLES)
wp->examples_reduced = MAX_LEN_EXAMPLES;
break;
case INTERNALS_PARALLEL : wp->warn_parallel = LOGI; break;
default : {} // none
}
}
}
break;
case 20: {
coords_param *cp = &(options->coords);
switch(j) {
case COORDS_XYZNOTATION: cp->xyz_notation = USRLOG; break;
case 1: {
coord_sys_enum coord =
(coord_sys_enum) GetName(el, name, COORD_SYS_NAMES, nr_coord_sys,
coord_auto);
if (coord == coord_auto || coord == earth || coord == sphere ||
coord == cartesian)
cp->coord_system = coord;
else RFERROR2("Cannot take '%.50s' as a value for the initial '%.50s'",
CHAR(STRING_ELT(el, 0)), coords[j]);
if ((coord == earth && cp->anglemode != degree) ||
(coord != earth && cp->anglemode == degree)
) {
cp->anglemode = coord == earth ? degree : radians;
if (PL > 0 && !isList) {
PRINTF("Angle mode switches to '%.50s'.\n", ANGLE_NAMES[cp->anglemode]);
}
}
}
break;
case 2: getUnits(el, name, cp->newunits, NULL);
break;
case 3: getUnits(el, name, cp->curunits, isList ? NULL : cp->newunits);
break;
case 4: getUnits(el, name, cp->varunits, NULL);
break;
case COORDS_DATAIDX:
// either exct column number must be given
// or a set of potential variable names
Integer2(el, name, cp->data_idx);
if (cp->data_idx[1] != NA_INTEGER) {
int n = cp->data_idx[1] - cp->data_idx[0] + 1;
if (n > MAXDATANAMES)
RFERROR1("maximum number named variables is %d", MAXDATANAMES);
cp->data_nr_names = 0;
}
break;
case COORDS_DATANAMES:
cp->data_nr_names = length(el);
if (cp->data_nr_names > 0)
String(el, name, cp->data_names, cp->data_nr_names);
break;
case COORDS_XIDX:
Integer2(el, name, cp->x_idx);
if (cp->x_idx[1] != NA_INTEGER) {
int n = cp->x_idx[1] - cp->x_idx[0] + 1;
if (n > MAXDATANAMES)
RFERROR1("maximum number named variables is %d", MAXCOOORDNAMES);
cp->x_nr_names = 0;
}
break;
case COORDS_XNAMES:
cp->x_nr_names = length(el);
if (cp->x_nr_names > 0) String(el, name, cp->x_names, cp->x_nr_names);
break;
case 9:
cp->new_coord_system =
(coord_sys_enum) GetName(el, name, COORD_SYS_NAMES, nr_coord_sys,
coord_keep);
if (cp->new_coord_system == coord_auto) cp->new_coord_system = coord_keep;
break;
case ZENIT: {
Real(el, name, cp->zenit, 2);
}
break;
case 11: cp->polar_coord = LOGI;
break;
case 12: {
cp->anglemode = (angle_modes) GetName(el, name, ANGLE_NAMES,
last_angle_mode + 1, -1);
}
break;
case 13: cp->allow_earth2cart = LOGI;
break;
default: BUG;
}}
break;
case 21: {
special_param *sp = &(options->special);
switch(j) {
case 0: sp->multcopies = POSINT;
break;
default: BUG;
}}
break;
case 22: { // obsolete
internal_param *wp = &(options->internal);
switch(j) {
case 0: wp->warn_oldstyle = LOGI; break;
case 1: wp->warn_newstyle = LOGI; break;
case 2: wp->warn_Aniso = LOGI; break;
case 3: wp->warn_ambiguous = LOGI; break;
case 4: wp->warn_normal_mode = LOGI; break;
case 8: RFERROR("'matrix_inversion' has been changed to 'matrix_methods'" );
break;
case 9: RFERROR("'matrix_tolerance' has been changed to 'svd_tol'" );
break;
default:
RFERROR1("RFoption '%.50s' has been removed.", obsolete[j]);
}}
break;
default: BUG;
}
// printf("end setparameter\n");
}
void getRFoptions(SEXP sublist, int i, int local) {
int k=0;
char x[2]=" ";
//#define ADD(ELT) {printf(#ELT"\n");SET_VECTOR_ELT(sublist, k++, ELT);}
globalparam *options = WhichOptionList(local);
switch(i) {
case 0 : {
// printf("OK %d\n", i);
general_param *p = &(options->general);
ADD(ScalarString(mkChar(MODE_NAMES[p->mode])));
ADD(ScalarLogical(p->storing));
ADD(ScalarInteger(p->every));
ADD(ScalarReal(p->gridtolerance));
ADDCHAR(p->pch);
if (p->naturalscaling==0 || p->naturalscaling==1) {
ADD(ScalarLogical(p->naturalscaling));
} else {
ADD(ScalarInteger(p->naturalscaling));
}
ADD(ScalarLogical(p->sp_conform));
ADD(ExtendedBooleanUsr(p->exactness));
ADD(ScalarLogical(p->allowdist0));
ADD(ScalarLogical(p->na_rm_lines));
ADD(ScalarLogical(p->vdim_close_together));
ADD(ScalarInteger(p->expected_number_simu));
ADD(ScalarLogical(p->detailed_output));
ADD(ScalarLogical(p->Ttriple == NA_INTEGER ? NA_LOGICAL
: p->Ttriple != 0));
ADD(ScalarLogical(p->returncall));
ADD(ScalarString(mkChar(OUTPUTMODE_NAMES[p->output])));
ADD(ScalarString(mkChar(REPORTCOORD_NAMES[p->reportcoord])));
ADD(ScalarInteger(p->set + 1));
ADD(ScalarInteger(p->seed_incr));
ADD(ScalarInteger(p->seed_sub_incr));
}
break;
// printf("OK %d\n", i);
case 1 : {
gauss_param *p = &(options->gauss);
// nachfolgend sollte immer >= 0 sein
ADD(ScalarLogical(p->paired));
ADD(ExtendedBooleanUsr(p->stationary_only));
ADD(ScalarReal(p->approx_zero));
ADD(ScalarInteger(p->direct_bestvariables));
ADD(ScalarLogical(p->loggauss));
SET_VECTOR_ELT(sublist, k++, Num(p->boxcox, 2 * MAXBOXCOXVDIM,
2 * MAXBOXCOXVDIM));
}
break;
case 2 : {
krige_param *p = &(options->krige);
ADD(ScalarLogical(p->ret_variance));
ADD(ScalarInteger(p->locmaxn));
SET_VECTOR_ELT(sublist, k++, Int(p->locsplitn, 3, 3));
ADD(ScalarInteger(p->locsplitfactor));
ADD(ScalarLogical(p->fillall));
}
break;
case 3 : {
ce_param *p = &(options->ce);
ADD(ScalarLogical(p->force));
SET_VECTOR_ELT(sublist, k++, Num(p->mmin, MAXCEDIM, MAXCEDIM));
ADD(ScalarInteger(p->strategy));
ADD(ScalarReal(p->maxGB));
ADD(ScalarReal(p->maxmem));
ADD(ScalarReal(p->tol_im));
ADD(ScalarReal(p->tol_re));
ADD(ScalarInteger(p->trials));
ADD(ScalarLogical(p->useprimes));
ADD(ScalarLogical(p->dependent));
ADD(ScalarReal(p->approx_grid_step));
ADD(ScalarInteger(p->maxgridsize));
}
break;
case 4: {
direct_param *p = &(options->direct);
//ADD(ScalarInteger(p->inversionmethod));
//ADD(ScalarReal(p->svdtolerance));
ADD(ScalarInteger(p->maxvariables));
}
break;
case 5: {
nugget_param *p = &(options->nugget);
ADD(ScalarReal(p->tol));
// ADD(ScalarLogical(p->meth));
}
break;
case 6 : {
sequ_param *p = &(options->sequ);
ADD(ScalarInteger(p->back));
ADD(ScalarInteger(p->initial));
}
break;
case 7 :; {
spectral_param *p = &(options->spectral);
SET_VECTOR_ELT(sublist, k++, Int(p->lines, MAXTBMSPDIM,MAXTBMSPDIM));
ADD(ScalarLogical(p->grid));
ADD(ScalarReal(p->prop_factor));
ADD(ScalarReal(p->sigma));
}
break;
case 8: {
tbm_param *p = &(options->tbm);
// nachfolgend sollte immer >= 0 sein
ADD(ScalarInteger(p->tbmdim));
ADD(ScalarInteger(p->fulldim));
SET_VECTOR_ELT(sublist, k++, Num(p->center, MAXTBMSPDIM, MAXTBMSPDIM));
ADD(ScalarInteger(p->points));
// ADD(p->method>=0 ? ScalarString(mkChar(METHOD_NAMES[p->method])) :
// R_NilValue);
SET_VECTOR_ELT(sublist, k++, Int(p->lines, MAXTBMDIM,MAXTBMDIM));
ADD(ScalarReal(p->linesimufactor));
ADD(ScalarReal(p->linesimustep));
ADD(ExtendedBooleanUsr(p->layers));
ADD(ScalarLogical(p->grid));
}
break;
case 9: {
mpp_param *p = &(options->mpp);
ADD(ScalarInteger(p->n_estim_E));
SET_VECTOR_ELT(sublist, k++,
Num(p->intensity, MAXMPPDIM ,MAXMPPDIM));
//ADD(ScalarReal(p->refradius_factor));
ADD(ScalarReal(p->about_zero));
ADD(ScalarReal(p->shape_power));
SET_VECTOR_ELT(sublist, k++, Num(p->scatter_step, MAXMPPDIM,MAXMPPDIM));
SET_VECTOR_ELT(sublist, k++, Int(p->scatter_max, MAXMPPDIM,MAXMPPDIM));
// SET_VECTOR_ELT(sublist, k++, Num(p->plus, MAXMPPDIM ,MAXMPPDIM));
// ADD(ScalarReal(p->approxzero));
// ADD(ScalarReal(p->samplingdist));
// ADD(ScalarReal(p->samplingr));
// ADD(ScalarReal(p->p));
}
break;
case 10: {
hyper_param *p = &(options->hyper);
ADD(ScalarInteger(p->superpos));
ADD(ScalarInteger(p->maxlines));
ADD(ScalarInteger(p->mar_distr));
ADD(ScalarReal(p->mar_param));
}
break;
case 11 : {
extremes_param *p = &(options->extreme);
ADD(ScalarReal(p->standardmax));
ADD(ScalarInteger(p->maxpoints));
ADD(ScalarReal(p->GEV_xi));
ADD(ScalarReal(p->density_ratio));
ADD(ScalarInteger(p->check_every));
ADD(ExtendedBooleanUsr(p->flathull));
ADD(ScalarInteger(p->min_n_zhou));
ADD(ScalarInteger(p->max_n_zhou));
ADD(ScalarReal(p->eps_zhou));
ADD(ScalarInteger(p->mcmc_zhou));
ADD(ScalarReal(p->min_shape_gumbel));
ADD(ScalarString(mkChar(POISSON_SCATTER_NAMES[p->scatter_method])));
}
break;
case 12: {
br_param *p = &(options->br);
ADD(ScalarInteger(p->BRmaxmem));
ADD(ScalarReal(p->BRmeshsize));
ADD(ScalarInteger(p->BRvertnumber));
ADD(ScalarInteger(p->BRoptim));
ADD(ScalarReal(p->BRoptimtol));
ADD(ScalarReal(p->variobound));
ADD(ScalarInteger(p->deltaAM));
}
break;
case 13 : {
distr_param *p = &(options->distr);
ADD(ScalarReal(p->safety));
ADD(ScalarReal(p->minsteplen));
ADD(ScalarInteger(p->maxsteps));
ADD(ScalarInteger(p->parts));
ADD(ScalarInteger(p->maxit));
ADD(ScalarReal(p->innermin));
ADD(ScalarReal(p->outermax));
ADD(ScalarInteger(p->mcmc_n));
ADD(ScalarInteger(p->repetitions));
}
break;
case 14 : {
fit_param *p = &(options->fit);
ADD(ScalarReal(p->bin_dist_factor));
ADD(ScalarReal(p->upperbound_scale_factor));
ADD(ScalarReal(p->lowerbound_scale_factor));
ADD(ScalarReal(p->lowerbound_scale_LS_factor));
ADD(ScalarReal(p->upperbound_var_factor));
ADD(ScalarReal(p->lowerbound_var_factor));
ADD(ScalarReal(p->scale_max_relative_factor));
ADD(ScalarReal(p->minbounddistance));
ADD(ScalarReal(p->minboundreldist));
ADD(ScalarInteger(p->approximate_functioncalls));
SET_VECTOR_ELT(sublist, k++, Num(p->BC_lambdaLB, 2 * MAXBOXCOXVDIM,
2 * MAXBOXCOXVDIM));
SET_VECTOR_ELT(sublist, k++, Num(p->BC_lambdaUB, 2 * MAXBOXCOXVDIM,
2 * MAXBOXCOXVDIM));
ADD(ScalarLogical(p->use_naturalscaling));
ADD(ScalarInteger(p->bins));
ADD(ScalarInteger(p->nphi));
ADD(ScalarInteger(p->ntheta));
ADD(ScalarInteger(p->ntime));
// ADD(ScalarReal(p->sill));
ADD(ScalarLogical(p->onlyuser));
// ADD(ScalarString(mkChar(OPTIM_VAR_NAMES[p->optim_var_estim])));
ADD(ScalarInteger(p->lengthshortname));
ADD(ScalarInteger(p->split));
ADD(ScalarReal(p->scale_ratio));
ADD(ScalarInteger(p->critical));
ADD(ScalarInteger(p->n_crit));
ADD(ScalarInteger(p->locmaxn));
SET_VECTOR_ELT(sublist, k++, Int(p->locsplitn, 3, 3));
ADD(ScalarInteger(p->locsplitfactor));
ADD(ScalarInteger(p->smalldataset));
ADD(ScalarReal(p->min_diag));
ADD(ScalarLogical(p->reoptimise));
ADD(p->optimiser>=0 ? ScalarString(mkChar(OPTIMISER_NAMES[p->optimiser]))
: R_NilValue);
ADD(p->algorithm == UNSET ? R_NilValue :
ScalarString(mkChar(p->optimiser == 3 ? NLOPTR_NAMES[p->algorithm]
: "")
));
ADD(ScalarString(mkChar(LIKELIHOOD_NAMES[p->likelihood])));
ADD(ScalarLogical(p->ratiotest_approx));
ADD(ScalarLogical(p->split_refined));
ADD(ScalarLogical(p->cross_refit));
ADD(ExtendedBooleanUsr(p->estimate_variance));
ADD(ScalarReal(p->pgtol));
ADD(ScalarReal(p->pgtol_recall));
ADD(ScalarReal(p->factr));
ADD(ScalarReal(p->factr_recall));
ADD(ScalarLogical(p->use_pseudovariogram));
}
break;
case 15: {
empvario_param *p = &(options->empvario);
ADD(ScalarReal(p->phi0));
ADD(ScalarReal(p->theta0));
ADD(ScalarReal(p->tol));
ADD(ScalarLogical(p->pseudovariogram));
ADD(ScalarLogical(p->fft));
ADD(ScalarLogical(p->halveangles));
}
break;
case 16: {
gui_param *p = &(options->gui);
ADD(ScalarLogical(p->alwaysSimulate));
ADD(p->method>=0 ? ScalarString(mkChar(METHOD_NAMES[p->method]))
: R_NilValue);
SET_VECTOR_ELT(sublist, k++, Int(p->size, 2, 2));
}
break;
case 17 : {
graphics_param *p = &(options->graphics);
ADD(ScalarLogical(p->close_screen));
ADD(ScalarInteger(p->PL));
ADD(ScalarReal(p->height));
SET_VECTOR_ELT(sublist, k++, Int(p->increase_upto, 2, 2));
ADD(ExtendedBooleanUsr(p->always_open));
ADD(ScalarString(mkChar(p->filename)));
ADD(ScalarLogical(p->onefile));
ADD(ScalarInteger(p->number));
ADD(ScalarReal(p->resolution));
ADD(ScalarLogical(p->split_screen));
ADD(ScalarReal(p->width));
ADD(ExtendedBooleanUsr(p->always_close));
ADD(ScalarLogical(p->grDefault));
}
break;
case 18: {
registers_param *p = &(options->registers);
ADD(ScalarInteger(p->keynr));
ADD(ScalarInteger(p->predict));
ADD(ScalarInteger(p->likelihood));
}
break;
case 19 : {
internal_param *p = &(options->internal);
ADD(ScalarLogical(p->warn_oldstyle));
ADD(ScalarLogical(p->warn_newstyle));
ADD(ScalarLogical(p->warn_Aniso));
ADD(ScalarLogical(p->warn_ambiguous));
ADD(ScalarLogical(p->warn_normal_mode));
ADD(ScalarLogical(p->warn_mode));
ADD(ScalarLogical(p->stored_init));
ADD(ScalarLogical(p->warn_scale));
ADD(ScalarLogical(p->warn_coordinates));
ADD(ScalarLogical(p->warn_on_grid));
ADD(ScalarLogical(p->warn_new_definitions));
ADD(ScalarLogical(p->warn_aspect_ratio));
ADD(ScalarLogical(p->warn_coord_change));
ADD(ScalarLogical(p->warn_color_palette));
ADD(ScalarLogical(p->warn_zenit));
ADD(ScalarLogical(p->do_tests));
ADD(ScalarLogical(p->warn_constant));
ADD(ScalarLogical(p->warn_negvar));
ADD(ScalarLogical(p->warn_onlyvar));
ADD(ExtendedBooleanUsr(p->warn_mathdef));
ADD(ScalarInteger(p->examples_reduced));
ADD(ScalarLogical(p->warn_parallel));
ADD(ScalarLogical(p->allow_duplicated_loc));
ADD(ScalarLogical(p->warn_seed));
ADD(ScalarInteger(p->declare_PL));
ADD(ScalarLogical(p->warn_modus_operandi));
}
break;
case 20 : {
coords_param *p = &(options->coords);
ADD(ExtendedBooleanUsr(p->xyz_notation));
ADD(ScalarString(mkChar(COORD_SYS_NAMES[p->coord_system])));
ADD(UNITS(p->newunits));
ADD(UNITS(p->curunits));
ADD(UNITS(p->varunits)); // 4
int idx_default[2] = {1, NA_INTEGER};
if (p->data_nr_names == 0) {
SET_VECTOR_ELT(sublist, k++, Int(p->data_idx, 2, 2));
SET_VECTOR_ELT(sublist, k++, String(NULL, 0, 0));
} else {
SET_VECTOR_ELT(sublist, k++, Int(idx_default, 2, 2));
SET_VECTOR_ELT(sublist, k++,
String(p->data_names, p->data_nr_names, p->data_nr_names));
}
if (p->x_nr_names == 0) { // 7
SET_VECTOR_ELT(sublist, k++, Int(p->x_idx, 2, 2));
SET_VECTOR_ELT(sublist, k++, String(NULL, 0, 0));
} else {
SET_VECTOR_ELT(sublist, k++, Int(idx_default, 2, 2));
SET_VECTOR_ELT(sublist, k++,
String(p->x_names, p->x_nr_names, p->x_nr_names));
}
ADD(ScalarString(mkChar(COORD_SYS_NAMES[p->new_coord_system]))); //9
SET_VECTOR_ELT(sublist, k++, Num(p->zenit, 2, 2));
ADD(ScalarLogical(p->polar_coord));
ADD(ScalarString(mkChar(ANGLE_NAMES[p->anglemode])));
ADD(ScalarLogical(p->allow_earth2cart));
}
break;
case 21 : {
special_param *p = &(options->special);
ADD(ScalarInteger(p->multcopies));
}
break;
default : BUG;
}
}
void finalparameter(int VARIABLE_IS_NOT_USED local) {
PL = GLOBAL_UTILS->basic.Cprintlevel - PLoffset;
CORES = GLOBAL_UTILS->basic.cores;
}
void attachRFoptionsRandomFields(int *show) { // no print commands!!!
includeXport();
// printf("GLO RU start %l/d\n", (long int) GLOBAL_UTILS);
Ext_getUtilsParam(&GLOBAL_UTILS);
// printf("GLO RU %ld\n", (long int) GLOBAL_UTILS);
// GLOBAL_UTILS->basic.cores = 2;
// PRINTF("Some default options in pkg 'RandomFieldsUtils' for matrix decomposition have been changed by 'RandomFields'. Only if you use 'RandomFieldsUtils' directly, you might notice these changes.");
GLOBAL_UTILS->solve.max_chol = DIRECT_ORIG_MAXVAR;
GLOBAL_UTILS->solve.max_svd = 6555;
GLOBAL_UTILS->solve.pivot = PIVOT_AUTO;
GLOBAL_UTILS->solve.pivot_check = Nan;
Ext_attachRFoptions(prefixlist, prefixN, all, allN,
setparameter, finalparameter, getRFoptions, NULL,
PLoffset, true);
finalparameter(isGLOBAL);
InitModelList();
if (*show) {
// PRINTF("You get the old former graphic style by 'RFoption(grDefault=FALSE)'"); // OK
#ifdef DO_PARALLEL
PRINTF("'RandomFields' will use OMP\n");
#else
PRINTF("'RandomFields' will NOT use OMP\n");
#endif
}
#ifdef SCHLATHERS_MACHINE
// PRINTF("Martin todo: on.exit(RFoption) streichen; LOCAL=isGLOBAL, COPY_GLOBAL+LOCAL; nur LOCAL\n");
#endif
// printf("end ssss\n");
}
void detachRFoptionsRandomFields() {
Ext_detachRFoptions(prefixlist, prefixN);
}
void RelaxUnknownRFoptions(int *RELAX) {
Ext_relaxUnknownRFoption((bool) *RELAX);
}
