Man pages for mixedLSR
Mixed, Low-Rank, and Sparse Multivariate Regression on High-Dimensional Data
| bic_lsr | Compute Bayesian information criterion for a mixedLSR model |
| fct_alt_optimize | Internal Alternating Optimization Function |
| fct_dpp | Internal Double Penalized Projection Function |
| fct_em | Internal EM Algorithm |
| fct_gamma | Internal Posterior Calculation |
| fct_initialize | Internal Partition Initialization Function |
| fct_j_lik | Internal Likelihood Function |
| fct_log_lik | Internal Log-Likelihood Function |
| fct_new_assign | Internal Perturb Function |
| fct_pi_vec | Internal Pi Function |
| fct_rank | Internal Rank Estimation Function |
| fct_select_lambda | Internal Penalty Parameter Selection Function. |
| fct_sigma | Internal Sigma Estimation Function |
| fct_sim_anneal | Internal Simulated Annealing Function |
| fct_weighted_ll | Internal Weighted Log Likelihood Function |
| mixed_lsr | Mixed Low-Rank and Sparse Multivariate Regression for... |
| plot_lsr | Heatmap Plot of the mixedLSR Coefficient Matrices |
| simulate_lsr | Simulate Heterogeneous, Low-Rank, and Sparse Data |
