boot.lucid |
Bootstrap method of inference for LUCID |
CovY |
Covariates Set 1 |
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 |
G1 |
Genetic Features Set 1 |
G2 |
Genetic Features Set 2 |
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 |
summary.lucid |
Summarize the results of LUCID model |
tune.lucid |
Grid search for tuning parameters to fit the LUCID model |
Y1 |
Outcome Set 1 |
Y2 |
Outcome Set 2 |
Z1 |
Biomarker Set 1 |
Z2 |
Biomarker Set 2 |