Man pages for rdevito/MSFA
Maximum Likelihood Estimation and Bayesian analysis of MSFA models
| data_bc_demo | Breast Cancer Demograhic Information |
| data_breastCancer05 | Breast Cancer Data |
| data_immune | Immune System Data |
| data_subtype | Breast Cancer Subtypes |
| ecm_fa | Estimates the parameters of study-specific FA models |
| ecm_msfa | Estimates the parameters of a MSFA model |
| estim_bc | Breast Cancer Estimation Results |
| sim_scenario1 | Setting for Scenario 1 of the Simulation Study |
| sim_scenario2 | Setting for Scenario 2 of the Simulation Study |
| sim_scenario3 | Setting for Scenario 3 of the Simulation Study |
| sim_scenario4 | Setting for Scenario 4 of the Simulation Study |
| sim_scenarioD | Setting for the simulation scenario of the Discussion section |
| sp_eigen | Normalized eigenvalues of a symmetric matrix. |
| sp_fa | Posterior sampling for the sparse Bayesian infinite factor... |
| sp_fa_control | Auxiliary function for 'sp_fa'. |
| sp_msfa | Posterior sampling for the Bayesian MSFA model for sparse... |
| sp_msfa_control | Auxiliary function for 'sp_msfa'. |
| sp_OP | OP algorithm for loading matrix estimation |
| start_msfa | Provides some starting values for the parameters of a MSFA... |
| vcov_msfa | Variance matrix of MLE estimates for a MSFA model |
