Define tuning parameters of regularization for LUCID model.
def.tune(
Rho_G = 0,
Rho_Z_InvCov = 0,
Rho_Z_CovMu = 0,
Select_G = FALSE,
Select_Z = FALSE
)
Numeric. Penalty for selection on genetic features/environmental exposures.
Numeric. Penalty for the inverse of the covariance of biomarkers, which will produce a sparse matrix.
Numeric. Penalty for the product of the inverse of the covariance of biomarkers, which will produce a sparse matrix for the mean.
Flag for variable selection in genetic features/environmental exposures. Default is FALSE.
Flag for variable selection in biomarkers. Default is FALSE.
A list of tuning parameters and settings will be returned for integrative clustering.