Description Usage Arguments Value Author(s)
Fit a beta mixture distribution to theta, assuming LRR follows an established Gaussian mixture distribution
1 2 3 |
df.in |
clusterdef object |
theta |
theta |
lrr |
LRR |
tol |
how small a change in group membership probabilities prompts continued optimization |
verbose |
print messages if TRUE |
maxit |
maximum number of iterations |
eps |
theta cannot be exactly 0 or 1, and values less than eps from 0 or 1 are set to eos and 1-eps respectively |
use.deriv |
if TRUE, use gradients to optimize quicker. Currently off by default because it DOESN'T WORK! |
max.lrr |
ignored, in future will allow maximization in theta only |
a clusterfit object
Chris Wallace
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