M.step: M-step of the EM algorithm
In pzwiernik/LatentClass: Estimation of the latent class model for discrete data
Description
Usage
Arguments
Examples
Description
This internal function performs the M-step of the EM-algorithm
Usage
1
M.step(phat, fphat)
Arguments
phat
The array of normalized counts (sample proportions) of format (r[1],...,r[m])
fphat
The list of k arrays that represent the full distribution over (r[1],...,r[m],k)
Examples
1
M.step(phat,theta)
pzwiernik/LatentClass documentation built on May 26, 2019, 11:35 a.m.
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Description Usage Arguments Examples
Description
This internal function performs the M-step of the EM-algorithm
Usage
1 | M.step(phat, fphat)
|
Arguments
phat |
The array of normalized counts (sample proportions) of format (r[1],...,r[m]) |
fphat |
The list of k arrays that represent the full distribution over (r[1],...,r[m],k) |
Examples
1 | M.step(phat,theta)
|
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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