LUCIDus (version 2.1.0)

summary.lucid: Summarize the results of LUCID model

Description

Summarize the results of LUCID model

Usage

# S3 method for lucid
summary(object, boot.se = NULL, ...)

Arguments

object

A model fitted by est.lucid

boot.se

A object returned by boot.lucid, which contains the bootstrap standard error

...

Other parameters to be passed to summary

Value

A list with class "sumlucid", which contains the following object

Beta

Estimates of genetic/environmental effects (and effect of covariates if included), matrix

Mu

Estimates of cluster-specific biomarker means, matrix

Gamma

Estimates of cluster-specific disease risk (and effect of covariates if included), vector

Family

Type of Y, binary or normal

K

Number of latent clusters

loglik

log likelihood of the model

BIC

Bayesian Information Criteria of the model

boot.se

Bootstrap SE for estimates, an object returned by boot.lucid

References

Cheng Peng, Jun Wang, Isaac Asante, Stan Louie, Ran Jin, Lida Chatzi, Graham Casey, Duncan C Thomas, David V Conti, A Latent Unknown Clustering Integrating Multi-Omics Data (LUCID) with Phenotypic Traits, Bioinformatics, , btz667, https://doi.org/10.1093/bioinformatics/btz667.

Examples

# NOT RUN {
fit1 <- est.lucid(G = G1, Z = Z1, Y = Y1, CoY = CovY, K = 2, family = "binary", useY = FALSE)
summary(fit1)
fit2 <- est.lucid(G = G1, Z = Z1, Y = Y1, CoY = CovY, K = 2, family = "binary", useY = FALSE,
 tune = def.tune(Select_Z = TRUE, Rho_Z_InvCov = 0.1, Rho_Z_CovMu = 90, 
 Select_G = TRUE, Rho_G = 0.02)) 
summary(fit2)
# }