beta.em: beta.em
In chr1swallace/caller: caller
Description
Usage
Arguments
Value
Author(s)
Description
Fit a beta mixture distribution to theta, assuming LRR
follows an established Gaussian mixture distribution
Usage
1
2
Arguments
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!
Value
a clusterfit object
Author(s)
Chris Wallace
chr1swallace/caller documentation built on May 13, 2019, 6:18 p.m.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Value Author(s)
Description
Fit a beta mixture distribution to theta, assuming LRR follows an established Gaussian mixture distribution
Usage
1 2 |
Arguments
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! |
Value
a clusterfit object
Author(s)
Chris Wallace
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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