Description Usage Arguments Details Value See Also
The routinnes to fit mixture models to the data and to obtain initial partition or initial values.
1 | wire.init.reg(dat, X, qe, n, m, g, cluster)
|
dat |
The dataset, an n by m numeric matrix, where n is number of observations and m the dimension of data. |
X |
The design matrix. |
qe |
The number of columns of design matrix W. |
n |
The number of observations. |
m |
The number of variables. |
g |
The number of components in the mixture model. |
cluster |
A vector of integers specifying the initial partitions of the data. |
These functions are called internally.
A list containing
pro |
A vector of mixing proportions pi |
beta |
A numeric matrix with each column corresponding to the mean. |
sigma.e |
The covaraince of error |
cluster |
A vector of final partition |
loglik |
The loglikelihood at convergence |
lk |
A vector of loglikelihood at each EM iteration |
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