Istep_Z                 I-step of LUCID
boot_lucid              Inference of LUCID model based on bootstrap
                        resampling
check_na                Check missing patterns in one layer of omics
                        data Z
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)
lucid                   Fit a lucid model for integrated analysis on
                        exposure, outcome and multi-omics data,
                        allowing for tuning
plot                    Visualize LUCID model through a Sankey diagram
predict_lucid           Predict cluster assignment and outcome based on
                        LUCID model using new data of G,Z,(Y). If
                        g_computation, predict cluster assignment,
                        omics data, and outcome based on LUCID model
                        using new data of G only This function can also
                        be use to extract X assignment is using
                        training data G,Z,Y as input.
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
sim_data                A simulated dataset for LUCID
simulated_HELIX_data    A simulated HELIX dataset for LUCID
summary.early_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              A wrapper function to perform model selection
                        for LUCID
