Initialization_t_mixture: Starting Values for EM algorithm
In sp2019-antibiotics/Team-Student: T-Mixture
Description
Usage
Arguments
Value
Author(s)
Description
Computes starting values (mixture proportions) for EM algorithm
Usage
1
Initialization.t.mixture(n, j, K, memb.exp=2, draw=FALSE)
Arguments
n
Frequencies (integer vector of length J)
j
Possible values (numeric vector of length J)
K
Number of components (numeric scalar)
memb.exp
Clustering parameter (numeric scalar > 1)
draw
Should clustering be drawn? (Boolean scalar)
Value
tau
Class membership values for all classes and all possible values (numeric JxK - matrix)
Author(s)
Lisa Allmesberger
Fabian Bergs
Stefan Immler
Michael Kässmann
sp2019-antibiotics/Team-Student documentation built on Nov. 5, 2019, 9:13 a.m.
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.
Description Usage Arguments Value Author(s)
Description
Computes starting values (mixture proportions) for EM algorithm
Usage
1 | Initialization.t.mixture(n, j, K, memb.exp=2, draw=FALSE)
|
Arguments
n |
Frequencies (integer vector of length J) |
j |
Possible values (numeric vector of length J) |
K |
Number of components (numeric scalar) |
memb.exp |
Clustering parameter (numeric scalar > 1) |
draw |
Should clustering be drawn? (Boolean scalar) |
Value
tau |
Class membership values for all classes and all possible values (numeric JxK - matrix) |
Author(s)
Lisa Allmesberger Fabian Bergs Stefan Immler Michael Kässmann
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.