Description Usage Arguments Value Author(s) References See Also Examples
Crossvalidation for the choice of tuning parameters in the penalized finitemixture Cox regression method
1 2 3 
Time 
observed time 
Delta 
survival status 
X 
a data matrix of explanatory variables, where each colomn correponds to one predictor and each row indicates one sample. 
ncore 
the number of CPU cores occupied for parallele implementation 
K 
number of components in the finitemixture Cox model 
nfolds 
number of folds split in CV partitioning 
nopenaltyresult 
fitting of the full finitemixture Cox PH model, which is a list with

alpha 
the elastic net mixing parameter 
scad 
is the SCAD penalty applied? 
adpcoef 
the adaptive weight of adaptive LASSO method 
nlambda 
the number of 
seed 
random seeding for CV split 
a data matrix, where the first row lambda.min
presents the
value of tuning parameter that gives the minimum CV error in each component
of the finitemixutre Cox PH model, and the second row
lambda.1se
provides the largest value of tuning parameter such
that CV error is within 1 standard error of the minimum in each component.
Shijie Quan, Shun He
Subtype classification and heterogeneous prognosis model construction in precision medicine. Na You, Shun He, Xueqin Wang, Junxian Zhu and Heping Zhang
pmixcox
1  ## see pmixcox ##

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