blc {RPMM} | R Documentation |
Beta Latent Class Model
Description
Fits a beta mixture model for any number of classes
Usage
blc(Y, w, maxiter = 25, tol = 1e-06, weights = NULL, verbose = TRUE)
Arguments
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? |
Details
Typically not be called by user.
Value
A list of parameters representing mixture model fit, including posterior weights and log-likelihood
[Package RPMM version 1.25 Index]