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Searched refs:cov_r (Results 1 – 10 of 10) sorted by relevance

/dports/math/py-statsmodels/statsmodels-0.13.1/statsmodels/stats/tests/
H A Dtest_corrpsd.py58 cov_r = Holder() variable
62 cov_r.eigenvalues = np.array([
66 cov_r.corr = '''FALSE'''
67 cov_r.normF = 0.0623948693159157
68 cov_r.iterations = 11
69 cov_r.rel_tol = 5.83987595937896e-08
70 cov_r.converged = '''TRUE'''
73 cov_r.mat = np.array([
158 cls.res = cov_r
/dports/math/py-statsmodels/statsmodels-0.13.1/statsmodels/regression/tests/
H A Dtest_theil.py61 cov_r = np.array([[0.15**2, -0.01], [-0.01, 0.15**2]])
62 mod = TheilGLS(endog, exog, r_matrix, q_matrix=r_mean, sigma_prior=cov_r)
/dports/graphics/darktable38/darktable-3.8.0/src/common/
H A Dguided_filter.c199 const float cov_r = varpx[COV_R] - guide_r * inp_mean; in guided_filter_tiling() local
202 const float det1 = cov_r * (Sigma_1_1 * Sigma_2_2 - Sigma_1_2 * Sigma_1_2) in guided_filter_tiling()
206 - cov_r * (Sigma_0_1 * Sigma_2_2 - Sigma_0_2 * Sigma_1_2) in guided_filter_tiling()
210 + cov_r * (Sigma_0_1 * Sigma_1_2 - Sigma_0_2 * Sigma_1_1); in guided_filter_tiling()
/dports/graphics/darktable/darktable-3.6.1/src/common/
H A Dguided_filter.c199 const float cov_r = varpx[COV_R] - guide_r * inp_mean; in guided_filter_tiling() local
202 const float det1 = cov_r * (Sigma_1_1 * Sigma_2_2 - Sigma_1_2 * Sigma_1_2) in guided_filter_tiling()
206 - cov_r * (Sigma_0_1 * Sigma_2_2 - Sigma_0_2 * Sigma_1_2) in guided_filter_tiling()
210 + cov_r * (Sigma_0_1 * Sigma_1_2 - Sigma_0_2 * Sigma_1_1); in guided_filter_tiling()
/dports/biology/phyml/phyml-3.3.20200621/src/
H A Drates.c605 For(i,(2*n_otu-2)*(2*n_otu-2)) to->cov_r[i] = from->cov_r[i]; in RATES_Copy_Rate_Struct()
2670 For(i,dim*dim) tree->rates->cov_r[i] = 0.0; in RATES_Covariance_Mu()
2674 tree->rates->cov_r[tree->n_root->v[2]->num*dim+tree->n_root->v[2]->num] = var; in RATES_Covariance_Mu()
2679 tree->rates->cov_r[tree->n_root->v[1]->num*dim+tree->n_root->v[1]->num] = var; in RATES_Covariance_Mu()
2691 tree->rates->cov_r[i*dim+j] = tree->rates->cov_r[lca_num*dim+lca_num]; in RATES_Covariance_Mu()
2692 tree->rates->cov_r[j*dim+i] = tree->rates->cov_r[i*dim+j]; in RATES_Covariance_Mu()
2696 tree->rates->cov_r[i*dim+j] = 0.0; in RATES_Covariance_Mu()
2697 tree->rates->cov_r[j*dim+i] = 0.0; in RATES_Covariance_Mu()
2736 var0 = tree->rates->cov_r[d->num*dim+d->num]; in RATES_Variance_Mu_Pre()
2744 tree->rates->cov_r[d->v[dir1]->num*dim+d->v[dir1]->num] = var0+var1; in RATES_Variance_Mu_Pre()
[all …]
H A Dfree.c1301 Free(rates->cov_r); in RATES_Free_Rates()
H A Dutilities.h1561 phydbl *cov_r; member
H A Dmake.c1313 rates->cov_r = (phydbl *)mCalloc((2*n_otu-2)*(2*n_otu-2),sizeof(phydbl)); in RATES_Make_Rate_Struct()
H A Dmcmc.c533 tree->rates->cov_r, in MCMC_Sample_Joint_Rates_Prior()
/dports/science/py-GPy/GPy-1.10.0/GPy/testing/
H A Dmodel_tests.py1052 cov_r = k_r.K(x_r)
1054 cov_all = np.kron(cov_r,cov)
1111 cov_r = k_r.K(x_r)
1113 cov_all = np.repeat(np.repeat(cov_r,D_list,axis=0),D_list,axis=1)*cov