| boot.lucid | Bootstrap method of inference for LUCID |
| def.control | Control parameters for EM algorithm |
| def.tune | Define tuning parameters of regularization for LUCID model. |
| est.lucid | Estimate latent unknown clusters with multi-omics data |
| plot.lucid | Visualize the LUCID model through a Sankey diagram This function generates a Sankey diagram for the results of integrative clustering based on an 'lucid' object |
| predict.lucid | Predict the outcome based on a fitted LUCID model |
| print.lucid | Print the output of 'est.lucid' |
| print.sumlucid | Print the output of LUCID in a nicer table |
| sim1 | simulated dataset 1 |
| sim2 | simulated dataset 2 |
| summary.lucid | Summarize the results of LUCID model |
| tune.lucid | Grid search for tuning parameters to fit the LUCID model |