opt.multiFSSEMiPALM: opt.multiFSSEMiPALM

In Ivis4ml/SparseSEMs: Sparse Structural Equation Models for jointly inferring Gene Regulatory Networks

Description

optimize multiFSSEMiPALM's parameters by minimize BIC, when feature size is large (> 300), BIC methods will be much faster than Cross-validation

Usage

opt.multiFSSEMiPALM(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

Ivis4ml/SparseSEMs documentation built on May 23, 2019, 2:43 p.m.