opt.multiNFSSEMiPALM2 {fssemR} | R Documentation |
opt.multiNFSSEMiPALM2
Description
optimize multiNFSSEMiPALM's parameters by minimize BIC, when feature size is large (> 300), BIC methods will be much faster than Cross-validation
Usage
opt.multiNFSSEMiPALM2(
Xs,
Ys,
Bs,
Fs,
Sk,
sigma2,
nlambda = 20,
nrho = 20,
p,
q,
wt = TRUE
)
Arguments
Xs |
eQTL matrices |
Ys |
Gene expression matrices |
Bs |
initialized GRN-matrices |
Fs |
initialized eQTL effect matrices |
Sk |
eQTL index of genes |
sigma2 |
initialized noise variance |
nlambda |
number of hyper-parameter of lasso term in CV |
nrho |
number of hyper-parameter of fused-lasso term in CV |
p |
number of genes |
q |
number of eQTLs |
wt |
use adaptive lasso or not. Default TRUE. |
Value
list of model selection result
[Package fssemR version 0.1.8 Index]