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 |