Man pages for LUCIDus
LUCID with Multiple Omics Data
| analyze_missing_pattern | Analyze missing data patterns in detail |
| boot_lucid | Inference of LUCID model based on bootstrap resampling |
| check_and_stabilize_sigma | Check matrix condition and stabilize if needed |
| check_convergence | Check convergence with both absolute and relative criteria |
| check_imputation_quality | Check quality of imputed data |
| check_na | Check missing patterns in omics data |
| estimate_lucid | Fit LUCID models with one or multiple omics layers |
| fill_data | Impute missing data by optimizing the likelihood function |
| gen_ci | generate bootstrp ci (normal, basic and percentile) |
| Istep_Z | I-step of LUCID |
| lucid | Fit a lucid model for integrated analysis on exposure,... |
| plot | Visualize LUCID model through a Sankey diagram |
| predict_lucid | Predict Cluster Assignment and Outcome From a Fitted LUCID... |
| print.sumlucid_early | Print the output of LUCID in a nicer table |
| print.sumlucid_parallel | Print the output of LUCID in a nicer table |
| print.sumlucid_serial | Print the output of LUCID in a nicer table |
| safe_impute | Safe imputation for edge cases |
| safe_log_sum_exp | Safe log-sum-exp computation |
| safe_normalize | Safe probability normalization |
| safe_solve | Safe matrix inversion with stability checks |
| sim_data | A simulated dataset for LUCID |
| simulated_HELIX_data | A simulated HELIX dataset for LUCID |
| summarize_missing_stats | Summarize missing-data patterns from check_na output |
| summary_lucid | Summarize results of the early LUCID model |
| summary.lucid_parallel | Summarize results of the parallel LUCID model |
| summary.lucid_serial | Summarize results of the serial LUCID model |
| tune_lucid | Wrapper for LUCID Model and Penalty Tuning |
