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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