mixglasso_init: mixglasso_init

In nethet: A bioconductor package for high-dimensional exploration of biological network heterogeneity

Description

mixglasso_init (initialization and lambda set by user)

Usage

mixglasso_init(x, n.comp, lambda, u.init, mix.prob.init, gamma = 0.5,
  pen = "glasso.parcor", penalize.diagonal = FALSE, term = 10^{    
  -3 }, miniter = 5, maxiter = 1000, min.compsize = 5,
  show.trace = FALSE)

Arguments

x	Input data matrix
n.comp	Number of mixture components
lambda	Regularization parameter
u.init	Initial responsibilities
mix.prob.init	Initial component probablities
gamma	Determines form of penalty
pen	Determines form of penalty: glasso.parcor (default), glasso.invcov, glasso.invcor
penalize.diagonal	Should the diagonal of the inverse covariance matrix be penalized ? Default=FALSE (recommended)
term	Termination criterion of EM algorithm. Default=10^-3
miniter	Minimal number of EM iteration before 'stop EM if any(compsize)<min.compsize' applies. Default=5
maxiter	Maximal number of EM iteration. Default=1000
min.compsize	Stop EM if any(compsize)<min.compsize; Default=5
show.trace	Should information during execution be printed ? Default=FALSE

Details

This function runs mixglasso; requires initialization (u.init,mix.prob.init)

Value

list consisting of

mix.prob	Component probabilities
Mu	Component specific mean vectors
Sig	Component specific covariance matrices
SigInv	Component specific inverse covariance matrices
iter	Number of EM iterations
loglik	Log-likelihood
bic	-loglik+log(n)*DF/2
mmdl	-loglik+penmmdl/2
u	Component responsibilities
comp	Component assignments
compsize	Size of components
pi.comps	Component probabilities
warn	Warnings during EM algorithm

Author(s)

n.stadler

nethet documentation built on Nov. 8, 2020, 6:54 p.m.