Description Usage Arguments Value
Compute the maximum likelihood estimates of an exponential mixture distribution and number of mixtures when the data is grouped.
1 2 | em_group_fit(x_grp, boundaries = NULL, data_type, prec = 1e-08,
prec2 = 1e-04, itermax = 100, rmax = 10)
|
x_grp |
Grouped data vector. |
boundaries |
Interval boundaries of the grouped data. |
data_type |
Three possible |
prec |
Precision used for testing convergence of mle's as measured by squared difference of loglikelihood functions. |
prec2 |
Estimated mixing proportions below |
itermax |
Maximum number of EM algorithm iterations. |
rmax |
Maximum number of mixtures to find. |
A list of mixing proportions p
and associated means mean
.
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