Istep_Z: I-step of LUCID
In LUCIDus: LUCID with Multiple Omics Data
Istep_Z R Documentation
I-step of LUCID
Description
Impute missing data in Z by maximizing the likelihood given fixed parameters
Usage
Istep_Z(Z, p, mu, sigma, index, lucid_model)
Arguments
Z
Matrix or list of matrices for omics data
p
Probability matrix/vector or list for parallel model
mu
Mean matrix or list of matrices
sigma
Covariance array or list of arrays
index
Missing value indicators
lucid_model
Model type
Value
Imputed dataset
LUCIDus documentation built on March 11, 2026, 9:06 a.m.
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| Istep_Z | R Documentation |
I-step of LUCID
Description
Impute missing data in Z by maximizing the likelihood given fixed parameters
Usage
Istep_Z(Z, p, mu, sigma, index, lucid_model)
Arguments
Z |
Matrix or list of matrices for omics data |
p |
Probability matrix/vector or list for parallel model |
mu |
Mean matrix or list of matrices |
sigma |
Covariance array or list of arrays |
index |
Missing value indicators |
lucid_model |
Model type |
Value
Imputed dataset
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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