R: LUCID with Multiple Omics Data

# LUCID with Multiple Omics Data

## Documentation for package ‘LUCIDus’ version 3.0.1

- DESCRIPTION file.

## Help Pages

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)
Istep_Z | I-step of LUCID
lucid | Fit a lucid model for integrated analysis on exposure, outcome and multi-omics data, allowing for tuning
plot_lucid | Visualize LUCID model through a Sankey diagram
predict_lucid | Predict cluster assignment and outcome based on LUCID model
print.sumlucid | Print the output of LUCID in a nicer table
simulated_HELIX_data | A simulated HELIX dataset for LUCID
sim_data | A simulated dataset for LUCID
summary_lucid | Summarize results of the LUCID model
tune_lucid | A wrapper function to perform model selection for LUCID