Description Usage Arguments Value
Internal. Fits a beta mixture model for any number of classes. Adapted from RPMM package.
1 |
Y |
Data matrix (n x j) on which to perform clustering. |
w |
Initial weight matrix (n x k) representing classification. |
maxiter |
Maximum number of EM iterations. |
tol |
Convergence tolerance. |
weights |
Case weights. |
verbose |
Verbose output. |
A list of parameters representing mixture model fit, including posterior weights and log-likelihood.
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