mStep: The M(aximisation) step
In multimix: Fit Mixture Models Using the Expectation Maximisation (EM) Algorithm
mStep R Documentation
The M(aximisation) step
Description
Uses the current group membership to estimate the probabilities.
Usage
mStep(Z, D)
Arguments
Z
an n by q matrix, where n is the number
of rows of dframe and q is the number of components in the
mixture. During the fitting Zij holds the currently estimated
probability that observation i belongs to component j.
Commonly Z is initialized to a matrix of indicator columns for a
partition of the data.
D
an object of class multimixSettings—see
data_organise for details.
Value
an object of class multimixParamList—see
initParamList for more information.
Author(s)
Murray Jorgensen
multimix documentation built on Jan. 22, 2023, 1:13 a.m.
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| mStep | R Documentation |
The M(aximisation) step
Description
Uses the current group membership to estimate the probabilities.
Usage
mStep(Z, D)
Arguments
Z |
an n by q matrix, where n is the number
of rows of |
D |
an object of class |
Value
an object of class multimixParamList—see
initParamList for more information.
Author(s)
Murray Jorgensen
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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