jglfit: Example data set for generating simulated data sets.

In pGMGM: Estimating Multiple Gaussian Graphical Models (GGM) in Penalized Gaussian Mixture Models (GMM)

Description

This is the output of applying New-JGL to the gene expression data set used in Gao et al. (2016).

Usage

data(jglfit)

Format

A data frame with 0 observations on the following 2 variables.

x

a numeric vector

y

a numeric vector

Value

A list with the following elements:

pie	A vector of the mixing proportion of each component in the model.

mu	A matrix that contains the mean of each component in the model in each row.

covinv

A list that contains the precision matrices for each component in the model.

membership

The class assignment for each observation.

par	The optimal value of lambda_1 and lambda_2.

Examples

# load data set

data(jglfit)

# mixing proportion
jglfit$pie

# dimension of an estimated precision matrix
dim(jglfit$covinv[[1]])

pGMGM documentation built on May 2, 2019, 11:55 a.m.