API for patrickrchao/AdaPTGMM
Adaptive P-Value Thresholding for Multiple Hypothesis Testing with Side Information using Gaussian Mixture Models
| Global functions | |
|---|---|
| .input_checks | Source code |
| .scale_data | Source code |
| .selection_helper | Source code |
| EM | Man page Source code |
| adapt_gmm | Man page Source code |
| base_prob_interval | Source code |
| base_prob_one_sided | Source code |
| base_prob_two_sided | Source code |
| big_over_small_prob | Source code |
| class_prob | Source code |
| clean_beta_formulas | Source code |
| complete_pkg | Source code |
| compute_fdphat | Source code |
| construct_args | Source code |
| construct_data | Source code |
| create_model | Source code |
| custom_beta | Source code |
| data_preprocessing | Source code |
| e_step_gamma | Source code |
| e_step_w_ika | Source code |
| info_cr | Source code |
| initialize_params | Source code |
| m_step_beta | Source code |
| m_step_beta_defaults | Source code |
| m_step_glmnet | Source code |
| m_step_mgcv | Source code |
| m_step_mu_tau | Source code |
| m_step_neural | Source code |
| m_step_nnet | Source code |
| m_step_rrvglm | Source code |
| marginalize | Source code |
| masking | Source code |
| model_selection | Man page Source code |
| optim_solver | Source code |
| optim_symmetric_solver | Source code |
| prob_jacobian_interval | Source code |
| prob_jacobian_one_sided | Source code |
| select_masking_params | Man page Source code |
| set_default_target | Source code |
| w_ika_helper | Source code |
| w_ika_symmetric_helper | Source code |
