z.nom.diag: Transforms Monte Carlo simulated data into categorical data....
In clustMD: Model Based Clustering for Mixed Data
View source: R/clustMD_InternalFunctions.R
z.nom.diag R Documentation
Transforms Monte Carlo simulated data into categorical data. Calculates
empirical moments of latent data given categorical responses.
Description
Internal function.
Usage
z.nom.diag(Z)
Arguments
Z
a matrix of Monte Carlo simulated data.
Value
Output required for clustMD function.
See Also
clustMD
clustMD documentation built on Jan. 27, 2026, 5:10 p.m.
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View source: R/clustMD_InternalFunctions.R
| z.nom.diag | R Documentation |
Transforms Monte Carlo simulated data into categorical data. Calculates empirical moments of latent data given categorical responses.
Description
Internal function.
Usage
z.nom.diag(Z)
Arguments
Z |
a matrix of Monte Carlo simulated data. |
Value
Output required for clustMD function.
See Also
clustMD
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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