npars_clustMD: Calculates the number of free parameters for the 'clustMD'...
In clustMD: Model Based Clustering for Mixed Data
Description
Usage
Arguments
Value
See Also
View source: R/clustMD_InternalFunctions.R
Description
Internal function.
Usage
1
npars_clustMD(model, D, G, J, CnsIndx, OrdIndx, K)
Arguments
model
the clustMD covariance model fitted.
D
the dimension of the latent data.
G
the number of mixture components.
J
the number of variables.
CnsIndx
the number of continuous variables.
OrdIndx
the sum of the number of continuous and ordinal (including
binary) variables.
K
a vector indicating the number of levels of each categorical
variable.
Value
Output required for clustMD function.
See Also
clustMD documentation built on May 2, 2019, 2:09 a.m.
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Description Usage Arguments Value See Also
View source: R/clustMD_InternalFunctions.R
Description
Internal function.
Usage
1 | npars_clustMD(model, D, G, J, CnsIndx, OrdIndx, K)
|
Arguments
model |
the |
D |
the dimension of the latent data. |
G |
the number of mixture components. |
J |
the number of variables. |
CnsIndx |
the number of continuous variables. |
OrdIndx |
the sum of the number of continuous and ordinal (including binary) variables. |
K |
a vector indicating the number of levels of each categorical variable. |
Value
Output required for clustMD function.
See Also
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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