blcInitializeSplitEigen(eigendim = 1, assignmentf = function(s) (rank(s) - 0.5)/length(s))
f(x)
(see Details.)
f(x)
that will take a data matrix x
and
initialize a weight matrix for a two-class latent class model.
Here, the initialized classes will be based on eigendecomposition of the variance of x
.
See blcTree
for example of using blcSplitCriterion... to control split.
blcInitializeSplitDichotomizeUsingMean
,
glcInitializeSplitFanny
,
glcInitializeSplitHClust