Copula.Hconfig_gaussian_density | Gaussian copula density for each Hconfiguration. |
EM_calibration_gaussian | EM calibration in the case of the gaussian copula (unsigned) |
EM_calibration_gaussian_memory | EM calibration in the case of the gaussian copula (unsigned) with memory management |
EM_calibration_indep | EM calibration in the case of conditional independence |
EM_calibration_indep_memory | EM calibration in the case of conditional independence with memory management (unsigned) |
f1_separation_signed | Signed case function: Separate f1 into f+ and f- |
FastKerFdr_signed | FastKerFdr signed |
FastKerFdr_unsigned | FastKerFdr unsigned |
fHconfig_sum_update_gaussian_copula_ptr_parallel | Computation of the sum sum_c(w_c*psi_c) using Gaussian copula parallelized version |
fHconfig_sum_update_ptr_parallel | Computation of the sum sum_c(w_c*psi_c) parallelized version |
gaussian_copula_density | Gaussian copula density |
GetH1AtLeast | Specify the configurations corresponding to the composite H_1 test "AtLeast". |
GetH1Equal | Specify the configurations corresponding to the composite H_1 test "Equal". |
GetHconfig | Generate the H_0/H_1 configurations. |
prior_update_arma_ptr_parallel | Update of the prior estimate in EM algo parallelized version |
prior_update_gaussian_copula_ptr_parallel | Update of the prior estimate in EM algo using Gaussian copula, parallelized version |
PvalSets | Synthetic example to illustrate the main qch functions |
PvalSets_cor | Synthetic example to illustrate the main qch functions using gaussian copula |
qch.fit | Infer posterior probabilities of H_0/H_1 configurations. |
qch.test | Perform composite hypothesis testing. |
R.MLE | Gaussian copula correlation matrix Maximum Likelihood estimator. |
R.MLE.check | Check the Gaussian copula correlation matrix Maximum Likelihood estimator |
R.MLE.memory | Gaussian copula correlation matrix Maximum Likelihood estimator (memory handling) |
R_MLE_update_gaussian_copula_ptr_parallel | Update the estimate of R correlation matrix of the gaussian copula, parallelized version |