Description Usage Arguments Details Value See Also
Creates a function for initializing latent class model based on Eigendecomposition
1 2 | glcInitializeSplitEigen(eigendim = 1,
assignmentf = function(s) (rank(s) - 0.5)/length(s))
|
eigendim |
How many eigenvalues to use |
assignmentf |
assignment function for transforming eigenvector to weight |
Creates a function 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 glcTree
for example of using “glcInitializeSplit...” to create starting values.
A function f(x)
(see Details.)
glcInitializeSplitFanny
,
glcInitializeSplitHClust
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