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 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
LUCIDus documentation built on Sept. 24, 2024, 1:08 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 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
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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