/dports/math/scilab/scilab-6.1.1/scilab/modules/scinotes/tests/nonreg_tests/ |
H A D | bug_4054_testfile.sce | 20 thetahat(1) = 1/2.25; 50 Phih1(1) = thetahat(1)*f1(1); 51 Phih2(1) = thetahat(1)*f2(1); 57 Xhatdot = G*Am*[Xhat(:,j) - [alpha(j); Beta(j)]] + [f1(j); f2(j)]*thetahat(j) + [0;r(j)]; 59 thetahat(j+1) = thetahat(j) + thetahatdot*dt; 62 if thetahat(j) <= 0.01 63 thetahat(j) = 0.01; 64 elseif thetahat(j) >= 2 65 thetahat(j) = 2; 68 Lhat(j) = 1/thetahat(j);
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/dports/math/R-cran-KFAS/KFAS/R/ |
H A D | KFS.R | 377 thetahat = array(0, ("signal" %in% smoothing) * c(p - 1, n - 1) + 1), 399 out <- c(out, list(thetahat = ts(t(smoothout$thetahat), start = start(model$y), nameattr 401 colnames(out$thetahat) <- colnames(model$y) 618 … out$thetahat <- ts(t(smoothout$thetahat), start = start(model$y), frequency = frequency(model$y)) 619 colnames(out$thetahat) <- rownames(model$H[, , 1]) 627 gaussian = smoothout$thetahat[i, ], 628 poisson = exp(smoothout$thetahat[i, ]) * model$u[, i], 629 binomial = exp(smoothout$thetahat[i, ]) / (1 + exp(smoothout$thetahat[i, ])), 630 gamma = exp(smoothout$thetahat[i, ]), 631 `negative binomial` = exp(smoothout$thetahat[i, ])) [all …]
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H A D | approxSSM.R | 146 model$thetahat <- out$theta
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H A D | signals.R | 82 return(list(signal = object$thetahat, variance = object$V_theta))
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H A D | print.objects.R | 71 print_this <- cbind(x$thetahat[n,], sqrt(x$V_theta[, , n][pdiag]))
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H A D | predict.SSModel.R | 262 pred[[i]] <- cbind(fit = out$thetahat[timespan, i] + 265 out$thetahat[timespan, i] +
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/dports/math/R-cran-MCMCpack/MCMCpack/src/ |
H A D | cMCMCirtHier1d.cc | 52 const Matrix<>& etahat, const Matrix<>& thetahat, in irt_W_update() argument 65 const double Zhat = ( -etahat(j,0) + thetahat(i) * etahat(j,1) ); in irt_W_update() 113 Matrix<>& thetahat, Matrix<>& etahat, in MCMCirtHier1d_impl() argument 170 etahat,thetahat,stream); in MCMCirtHier1d_impl() 181 hirt_theta_update1(theta, thetahat, Z, eta, beta, Xj, sigma2, in MCMCirtHier1d_impl() 327 Matrix<>thetahat(*thetastartrow, *thetastartcol, thetastartdata); in cMCMCirtHier1d() local 343 thetahat, etahat, ab0, AB0, in cMCMCirtHier1d()
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H A D | MCMCfcds.h | 881 void hirt_theta_update1 (Matrix<>& theta, Matrix<>& thetahat, in hirt_theta_update1() argument 907 thetahat(j) = 0.0; in hirt_theta_update1() 909 thetahat(j) += a[k] * ( Z(j,k) + b[k]); // bill contribution in hirt_theta_update1() 911 thetahat(j) += (Xbeta[j] / sigma2); // j prior level1 contribution in hirt_theta_update1() 913 thetahat(j) *= theta_post_var[0]; in hirt_theta_update1() 914 const double t = thetahat(j) / alpha; in hirt_theta_update1()
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/dports/math/R-cran-KFAS/KFAS/src/ |
H A D | ngsmooth.f90 | 36 double precision, intent(inout), dimension((p-1)*smooths+1,(n-1)*smooths+1) :: thetahat local 62 … call dgemv('n',p,m,1.0d0,zt(:,:,(t-1)*timevar(1)+1),p,alphahat(:,t),1,0.0d0,thetahat(:,t),1) 101 call covmeanwprotect(sim,w,p,n,4*nsim,thetahat,thetavar)
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H A D | ngfilter.f90 | 36 double precision, intent(inout), dimension((p-1)*smooths+1,(n-1)*smooths+1) :: thetahat local 63 … call dgemv('n',p,m,1.0d0,zt(:,:,(t-1)*timevar(1)+1),p,alphahat(:,t),1,0.0d0,thetahat(:,t),1) 109 call covmeanwprotect(sim(:,t,:),w(t,:),p,1,4*nsim,thetahat(:,t),thetavar(:,:,t))
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H A D | kfstheta.f90 | 32 double precision, intent(inout), dimension(n,p) :: thetahat local 113 call dgemv('n',p,m,1.0d0,zt(:,:,1),p,at,1,0.0d0,thetahat(1,:),1) 119 call dgemv('n',p,m,1.0d0,zt(:,:,(t-1)*timevar(1)+1),p,at,1,0.0d0,thetahat(t,:),1)
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H A D | declarations.h | 21 double *thetahat,double *thetahatvar, int *ldlsignal,double *zorig, int *zorigtv, int *aug, 28 double *alphavar,double *thetahat,double *thetavar,double *yhat,double *yvar,int *smootha, 71 double *convtol,double *alphahat,double *alphavar,double *thetahat, double *thetavar,
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H A D | gsmoothall.f90 | 35 double precision, intent(inout), dimension(p*signal,n*signal) :: thetahat local 436 … call dgemv('n',p,m,1.0d0,zorig(:,:,(t-1)*zorigtv+1),p,ahat(:,t),1,0.0d0,thetahat(:,t),1) 445 … call dgemv('n',p,m,1.0d0,zorig(:,:,(t-1)*zorigtv+1),p,rrec,1,0.0d0,thetahat(:,t),1) 468 … call dgemv('n',p,m,1.0d0,zorig(:,:,(t-1)*zorigtv+1),p,rrec,1,0.0d0,thetahat(:,t),1) 487 … call dgemv('n',p,m,1.0d0,zt(:,:,(t-1)*timevar(1)+1),p,ahat(:,t),1,0.0d0,thetahat(:,t),1) 496 … call dgemv('n',p,m,1.0d0,zt(:,:,(t-1)*timevar(1)+1),p,rrec,1,0.0d0,thetahat(:,t),1) 519 … call dgemv('n',p,m,1.0d0,zt(:,:,(t-1)*timevar(1)+1),p,rrec,1,0.0d0,thetahat(:,t),1)
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/dports/math/gretl/gretl-2021d/addons/gig/ |
H A D | gig_estimate.inp | 4 function void gig_packResults(bundle *mod, scalar err, matrix thetahat, 13 theta[sel] = thetahat
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/dports/math/R-cran-KFAS/KFAS/man/ |
H A D | sexratio.Rd | 46 sexratio.smooth2 <- exp(out$thetahat) 47 sexratio.ci2 <- exp(c(out$thetahat) + qnorm(0.025) *
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H A D | approxSSM.Rd | 39 \item{thetahat}{Mode of \eqn{p(\theta|y)}. } 89 approxmodel$thetahat
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H A D | KFAS.Rd | 382 c(out_D93_nosim$thetahat) 384 c(out_D93_sim$thetahat)
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H A D | KFS.Rd | 139 \item{thetahat}{Smoothed estimates of signals, \eqn{E(Z_t\alpha_t | y_1,
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/dports/science/qmcpack/qmcpack-3.11.0/src/QMCWaveFunctions/ |
H A D | MuffinTin.cpp | 491 TinyVector<double, 3> rhat, thetahat, phihat; in evaluate() local 498 thetahat = TinyVector<double, 3>(costheta * cosphi, costheta * sinphi, -sintheta); in evaluate() 548 … grad[iorb] += (dRadialVec[i] * YlmVec[lm] * rhat + RadialVec[i] / drmag * dYlmVec[lm] * thetahat + in evaluate() 685 TinyVector<double, 3> rhat, thetahat, phihat; in evaluateCore() local 692 thetahat = TinyVector<double, 3>(costheta * cosphi, costheta * sinphi, -sintheta); in evaluateCore() 719 grad[first + i] = (du * YlmVec[lm] * rhat + u / drmag * dYlmVec[lm] * thetahat + in evaluateCore()
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H A D | AtomicOrbital.h | 325 PosType thetahat = PosType(costheta * cosphi, costheta * sinphi, -sintheta); 395 grads[i] = (real(e2mikr * grad_rhat) * rhat + real(e2mikr * grad_thetahat) * thetahat + 438 PosType thetahat = PosType(costheta * cosphi, costheta * sinphi, -sintheta); 508 …grads[i][j] = e2mikr * (grad_rhat * rhat[j] + grad_thetahat * thetahat[j] + grad_phihat * phihat[j…
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/dports/math/R-cran-KFAS/KFAS/tests/testthat/ |
H A D | testGLM.R | 95 …expect_equal(c(kfas.poisson$thetahat),glm.poisson$linear.predictor,tolerance=tol, check.attributes… 115 …expect_equal(c(kfas.binomial$thetahat),glm.binomial$linear.predictor,tolerance=tol, check.attribut… 134 expect_equal(c(kfas.gamma1$thetahat),glm.gamma$linear.predictor, 171 expect_equal(c(kfas.NB$thetahat),glm.NB$linear.predictor,tolerance=tol, check.attributes=FALSE)
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/dports/science/qmcpack/qmcpack-3.11.0/src/QMCWaveFunctions/detail/CUDA_legacy/ |
H A D | AtomicOrbitalCuda.cu | 481 thetahat[0] = rhat[2]*cosphi; in evaluateHybridSplineReal_kernel() 482 thetahat[1] = rhat[2]*sinphi; in evaluateHybridSplineReal_kernel() 483 thetahat[2] = -sintheta; in evaluateHybridSplineReal_kernel() 645 thetahat[0] = rhat[2]*cosphi; in evaluateHybridPolyReal_kernel() 646 thetahat[1] = rhat[2]*sinphi; in evaluateHybridPolyReal_kernel() 647 thetahat[2] = -sintheta; in evaluateHybridPolyReal_kernel() 1256 thetahat[0] = rhat[2]*cosphi; in evaluateHybridSplineComplexToReal_kernel() 1257 thetahat[1] = rhat[2]*sinphi; in evaluateHybridSplineComplexToReal_kernel() 1258 thetahat[2] = -sintheta; in evaluateHybridSplineComplexToReal_kernel() 1532 thetahat[0] = rhat[2]*cosphi; in evaluateHybridPolyComplexToReal_kernel() [all …]
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/dports/math/py-yt/yt-4.0.1/yt/utilities/ |
H A D | math_utils.py | 1462 thetahat = -Jx * np.sin(theta) + Jy * np.cos(theta) 1464 return np.sum(vectors * thetahat, axis=0) 1537 thetahat = ( 1543 return np.sum(vectors * thetahat, axis=0)
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/dports/math/R-cran-KFAS/KFAS/ |
H A D | ChangeLog | 303 signal filtering returns an array t, and signal smoothing returns an array thetahat. 304 Also, signal filtering and smoothing for Gaussian models returns m and muhat, not t and thetahat. 339 * Changed the variable mu to muhat so it is similar to alphahat, thetahat etc.
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/dports/math/R-cran-VGAM/VGAM/R/ |
H A D | family.normal.R | 1117 thetahat <- sqrt(max(1/Ahat -1, 0.1)) functionVar 1119 thetahat * sqrt((stddev^2 + meany^2) * Ahat), n)
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