LUCID with Multiple Omics Data

Documentation for package ‘LUCIDus’ version 3.0.1

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