Istep_Z {LUCIDus}

I-step of LUCID

Description

Impute missing data in Z by maximizing the likelihood given fixed parameters of LUCID

Usage

Istep_Z(Z, p, mu, sigma, index, lucid_model)

Arguments

Z

an N by P matrix representing the omics data

p

an N by K matrix representing inclusion probability for each latent cluster

mu

an M by K matrix representing cluster-specific means

sigma

an M by M by K array representing cluster-specific covariance

index

an N by M matrix representing missing values in Z

lucid_model

Specifying LUCID model, "early" for early integration, "parallel" for lucid in parallel, "serial" for lucid in serial

Value

a complete dataset of Z