Simulated data for the cglasso vignette

Description

Simulated data, used to demonstrate the features of datacggm class. It contains two simulated datasets that mimic the structural characteristics of the two real datasets MKMEP and MM.

1. MKMEP.Sim: is a reponse matrix containing 50 samples of 10 genes;

2. MM.Sim: is a list containing two components;

   • Y: is the response matrix containing 50 measurements of 10 miRNAs

   • X: is the predictor matrix containing 50 measurements of 5 variables (four numerical and one categorical)

In both datasets, the response matrices are right-censored with an upper limit of detection fixed to 40.

Usage

data("Example")

See Also

cglasso, to_graph, and the method functions summary, coef, plot, AIC.cglasso, BIC.cglasso, MKMEP and MM.

Examples

data("Example")

MM.Sim <- datacggm(Y = MM.Sim$Y, up = 40, X = MM.Sim$X)
ColMeans(MM.Sim)
ColVars(MM.Sim)
summary(MM.Sim)

MKMEP.Sim <- datacggm(Y = MKMEP.Sim, up = 40)
ColMeans(MKMEP.Sim)
ColVars(MKMEP.Sim)
summary(MKMEP.Sim)