int main(int argc, char ** argv) {
int i,x=0;
//getchar();
printf("size of int: %lu\n", sizeof(int));
printf("size of long: %lu\n", sizeof(long));
printf("size of long long: %lu\n", sizeof(long long));
printf("ptr: %u bits\n", 8*sizeof(void*));
printf("factorial(6): %i\n", factorial(6));
//printf("factorial(3): %i\n", factorial(3));
varfunc(2, 20, 30);
varfunc(4, 99, 567, 11, 444);
varfunc(2, 80, 90);
a();
for (i=1; i <= 3; i++) {
printf("x=%i\n",x);
x+=i;
}
//exceptionFunc();
//exceptionFunc();
//exceptionFunc();
if (!setjmp(jump_buffer)) {
//printf("main, before testJmp(1)\n");
testJmp(1);
//printf("main, AFTER testJmp(1)\n");
} else {
//printf("main, LONG JUMP avvenuto\n");
//printf("main, before testJmp(0)\n");
testJmp(0, 434, 24324, 23411);
//printf("main, AFTER testJmp(0)\n");
}
printf("4\n");
//for (int i=0; i < 10; i++)
// foo();
return 0;
}
int main(int argc, char *argv[])
{
int i;
for (i=0; i<3; i++)
{
varfunc();
}
return 0;
}
int varfunc(int num, ...) {
if (!num)
goto end;
varfunc(num-1, 0, 0);
end:
return 23;
}
static const char *modperl_cmd_modvar(modperl_var_modify_t varfunc,
cmd_parms *parms,
modperl_config_dir_t *dcfg,
const char *arg1, const char *arg2)
{
varfunc(dcfg->configvars, dcfg->setvars, arg1, arg2);
MP_TRACE_d(MP_FUNC, "%s DIR: arg1 = %s, arg2 = %s",
parms->cmd->name, arg1, arg2);
/* make available via Apache2->server->dir_config */
if (!parms->path) {
MP_dSCFG(parms->server);
varfunc(scfg->configvars, scfg->setvars, arg1, arg2);
MP_TRACE_d(MP_FUNC, "%s SRV: arg1 = %s, arg2 = %s",
parms->cmd->name, arg1, arg2);
}
return NULL;
}
double PoissonGlm::getDisper( unsigned int id, double th )const
{
unsigned int i, df, nNonZero=0;
double ss2, yij, mij, chi2=0;
gsl_vector_view yj = gsl_matrix_column (Yref, id);
gsl_vector_view mj = gsl_matrix_column (Mu, id);
for (i=0; i<nRows; i++) {
yij = gsl_vector_get (&yj.vector, i);
mij = gsl_vector_get (&mj.vector, i);
ss2 = (yij-mij)*(yij-mij); // ss = (y-mu)^2
if ( mij<mintol ) mij = 1;
else nNonZero++;
if ( varfunc(mij, th)>eps )
chi2 = chi2 + ss2/varfunc(mij, th); // dist dependant
}
if (nNonZero > nParams)
df = nNonZero - nParams;
else df = 1;
// df = nRows - nParams;
return chi2/df;
}
int NBinGlm::nbinfit(gsl_matrix *Y, gsl_matrix *X, gsl_matrix *O, gsl_matrix *B)
{
gsl_set_error_handler_off();
initialGlm(Y, X, O, B);
gsl_rng *rnd=gsl_rng_alloc(gsl_rng_mt19937);
unsigned int i, j; //, isConv;
double yij, mij, vij, hii, uij, wij, wei;
double th, tol, dev_th_b_old;
int status;
// gsl_vector_view b0j, m0j, e0j, v0j;
gsl_matrix *WX = gsl_matrix_alloc(nRows, nParams);
gsl_matrix *TMP = gsl_matrix_alloc(nRows, nParams);
gsl_matrix *XwX = gsl_matrix_alloc(nParams, nParams);
gsl_vector_view Xwi, Xi, vj, dj, hj;
for (j=0; j<nVars; j++) {
betaEst(j, maxiter, &tol, maxtol); //poisson
// Get initial theta estimates
iterconv[j]=0.0;
if (mmRef->estiMethod==CHI2) {
th = getDisper(j, 1.0);
while ( iterconv[j]<maxiter ) {
//printf("th=%.2f, iterconv[%d]=%d\n", th, j, iterconv[j]);
iterconv[j]++;
dev_th_b_old = dev[j];
betaEst(j, 1.0, &tol, th); // 1-step beta
th = getDisper(j, th)/th;
tol = ABS((dev[j]-dev_th_b_old)/(ABS(dev[j])+0.1));
if (tol<eps) break;
} }
else if (mmRef->estiMethod==NEWTON) {
th = thetaML(0.0, j, maxiter);
while ( iterconv[j]<maxiter ) {
iterconv[j]++;
dev_th_b_old = dev[j];
th = thetaML(th, j, maxiter2);
betaEst(j, maxiter2, &tol, th);
tol=ABS((dev[j]-dev_th_b_old)/(ABS(dev[j])+0.1));
if (tol<eps) break;
} }
else {
th = getfAfAdash(0.0, j, maxiter);
/* lm=0;
for (i=0; i<nRows; i++) {
yij = gsl_matrix_get(Y, i, j);
mij = gsl_matrix_get(Mu, i, j);
lm = lm + llfunc( yij, mij, th);
} */
while ( iterconv[j]<maxiter ) {
iterconv[j]++;
dev_th_b_old = dev[j];
betaEst(j, maxiter2, &tol, th);
th = getfAfAdash(th, j, 1.0);
tol=ABS((dev[j]-dev_th_b_old)/(ABS(dev[j])+0.1));
if (tol<eps) break;
}
}
if ((iterconv[j]==maxiter)&(mmRef->warning==TRUE))
printf("Warning: reached maximum itrations - negative binomial may NOT converge in the %d-th variable (dev=%.4f, err=%.4f, theta=%.4f)!\n", j, dev[j], tol, th);
// other properties based on mu and phi
theta[j] = th;
gsl_matrix_memcpy(WX, Xref);
ll[j]=0;
for (i=0; i<nRows; i++) {
yij = gsl_matrix_get(Y, i, j);
mij = gsl_matrix_get(Mu, i, j);
vij = varfunc( mij, th);
gsl_matrix_set(Var, i, j, vij);
wij = sqrt(weifunc(mij, th));
gsl_matrix_set(wHalf, i, j, wij);
gsl_matrix_set(Res, i, j, (yij-mij)/sqrt(vij));
ll[j] = ll[j] + llfunc( yij, mij, th);
// get PIT residuals for discrete data
wei = gsl_rng_uniform_pos (rnd); // wei ~ U(0, 1)
uij=wei*cdf(yij, mij, th);
if (yij>0) uij=uij+(1-wei)*cdf((yij-1),mij,th);
gsl_matrix_set(PitRes, i, j, uij);
// W^1/2 X
Xwi = gsl_matrix_row (WX, i);
gsl_vector_scale(&Xwi.vector, wij);
}
aic[j]=-ll[j]+2*(nParams+1);
// X^T * W * X
gsl_matrix_set_identity (XwX);
gsl_blas_dsyrk (CblasLower, CblasTrans, 1.0, WX, 0.0, XwX);
status=gsl_linalg_cholesky_decomp (XwX);
if (status==GSL_EDOM) {
if (mmRef->warning==TRUE)
printf("Warning: singular matrix in calculating pit-residuals. An eps*I is added to the singular matrix.\n");
gsl_matrix_set_identity (XwX);
gsl_blas_dsyrk (CblasLower, CblasTrans, 1.0, WX, mintol, XwX);
gsl_linalg_cholesky_decomp (XwX);
}
gsl_linalg_cholesky_invert (XwX); // (X'WX)^-1
// Calc varBeta
vj = gsl_matrix_column (varBeta, j);
dj = gsl_matrix_diagonal (XwX);
gsl_vector_memcpy (&vj.vector, &dj.vector);
// hii is diagonal element of H=X*(X'WX)^-1*X'*W
hj = gsl_matrix_column (sqrt1_Hii, j);
gsl_blas_dsymm(CblasRight,CblasLower,1.0,XwX,Xref,0.0,TMP); // X*(X'WX)^-1
for (i=0; i<nRows; i++) {
Xwi=gsl_matrix_row(TMP, i);
Xi=gsl_matrix_row(Xref, i);
wij=gsl_matrix_get(wHalf, i, j);
gsl_blas_ddot(&Xwi.vector, &Xi.vector, &hii);
gsl_vector_set(&hj.vector, i, MAX(mintol, sqrt(MAX(0, 1-wij*wij*hii))));
//printf("hii=%.4f, wij=%.4f, sqrt(1-wij*wij*hii)=%.4f\n", hii, wij, sqrt(1-wij*wij*hii));
}
} // end nVar for j loop
// gsl_matrix_div_elements (Res, sqrt1_Hii);
// subtractMean(Res);
gsl_matrix_free(XwX);
gsl_matrix_free(WX);
gsl_matrix_free(TMP);
gsl_rng_free(rnd);
return SUCCESS;
}
int PoissonGlm::EstIRLS(gsl_matrix *Y, gsl_matrix *X, gsl_matrix *O, gsl_matrix *B, double *a)
{
initialGlm(Y, X, O, B);
gsl_set_error_handler_off();
gsl_rng *rnd=gsl_rng_alloc(gsl_rng_mt19937);
unsigned int i, j;
int status;
double yij, mij, vij, wij, tol, hii, uij, wei;
gsl_vector_view Xwi, Xi, vj, hj, dj;
gsl_matrix *WX = gsl_matrix_alloc(nRows, nParams);
gsl_matrix *TMP = gsl_matrix_alloc(nRows, nParams);
gsl_matrix *XwX = gsl_matrix_alloc(nParams, nParams);
for (j=0; j<nVars; j++) {
if ( a!=NULL ) theta[j]=a[j];
// estimate mu and beta
iterconv[j] = betaEst(j, maxiter, &tol, theta[j]);
if ((mmRef->warning==TRUE)&(iterconv[j]==maxiter))
printf("Warning: EstIRLS reached max iterations, may not converge in the %d-th variable (dev=%.4f, err=%.4f)!\n", j, dev[j], tol);
gsl_matrix_memcpy (WX, X);
for (i=0; i<nRows; i++) {
mij = gsl_matrix_get(Mu, i, j);
// get variance
vij = varfunc( mij, theta[j] );
gsl_matrix_set(Var, i, j, vij);
// get weight
wij = sqrt(weifunc(mij, theta[j]));
gsl_matrix_set(wHalf, i, j, wij);
// get (Pearson) residuals
yij = gsl_matrix_get(Y, i, j);
gsl_matrix_set(Res, i, j, (yij-mij)/sqrt(vij));
// get PIT residuals for discrete data
wei = gsl_rng_uniform_pos (rnd); // wei ~ U(0, 1)
uij = wei*cdf(yij, mij, theta[j]);
if (yij>0) uij=uij+(1-wei)*cdf((yij-1),mij,theta[j]);
gsl_matrix_set(PitRes, i, j, uij);
// get elementry log-likelihood
ll[j] = ll[j] + llfunc( yij, mij, theta[j]);
// W^1/2 X
Xwi = gsl_matrix_row (WX, i);
gsl_vector_scale(&Xwi.vector, wij);
}
aic[j]=-ll[j]+2*(nParams);
// X^T * W * X
gsl_matrix_set_identity(XwX);
gsl_blas_dsyrk (CblasLower, CblasTrans, 1.0, WX, 0.0, XwX);
status=gsl_linalg_cholesky_decomp (XwX);
if (status==GSL_EDOM) {
if (mmRef->warning==TRUE)
printf("Warning: singular matrix in calculating pit-residuals. An eps*I is added to the singular matrix.\n");
gsl_matrix_set_identity(XwX);
gsl_blas_dsyrk (CblasLower, CblasTrans, 1.0, WX, mintol, XwX);
gsl_linalg_cholesky_decomp (XwX);
}
gsl_linalg_cholesky_invert (XwX);
// Calc varBeta
dj = gsl_matrix_diagonal (XwX);
vj = gsl_matrix_column (varBeta, j);
gsl_vector_memcpy (&vj.vector, &dj.vector);
// hii is diagonal element of H=X*(X'WX)^-1*X'*W
hj = gsl_matrix_column (sqrt1_Hii, j);
gsl_blas_dsymm(CblasRight,CblasLower,1.0,XwX,Xref,0.0,TMP); // X*(X'WX)^-1
for (i=0; i<nRows; i++) {
Xwi=gsl_matrix_row(TMP, i);
Xi=gsl_matrix_row(Xref, i);
wij=gsl_matrix_get(wHalf, i, j);
gsl_blas_ddot(&Xwi.vector, &Xi.vector, &hii);
gsl_vector_set(&hj.vector, i, MAX(mintol, sqrt(MAX(0, 1-wij*wij*hii))));
}
}
// standardize perason residuals by rp/sqrt(1-hii)
// gsl_matrix_div_elements (Res, sqrt1_Hii);
// subtractMean(Res); // have mean subtracted
gsl_matrix_free(XwX);
gsl_matrix_free(WX);
gsl_matrix_free(TMP);
gsl_rng_free(rnd);
return SUCCESS;
}
int main(int argc, char** argv){
printf("%d\n", varfunc(1,2,3,4));
}
