bicEMtrain {mclust} | R Documentation |
For the ten available discriminant models the BIC is calulated. The
models for one-dimensional data are "E" and "V"; for higher dimensions
they are "EII", "VII", "EEI", "VEI", "EVI", "VVI", "EEE", "EEV", "VEV"
and "VVV". This function is much faster than cv1EMtrain
.
bicEMtrain(data, labels, modelNames)
data |
A data matrix |
labels |
Labels for each row in the data matrix |
modelNames |
Vector of model names that should be tested. |
Returns a vector where each element is the BIC for the corresponding model.
C. Fraley
data(lansing) odd <- seq(from=1, to=nrow(lansing), by=2) round(bicEMtrain(lansing[odd,-3], labels=lansing[odd, 3]), 1)