VSLCMcriteria-class: Constructor of 'VSLCMcriteria' class
In VarSelLCM: Variable Selection for Model-Based Clustering of Mixed-Type Data Set with Missing Values
Description
- loglikelihood
numeric. Log-likelihood
- AIC
numeric. Value of the AIC criterion.
- BIC
numeric. Value of the BIC criterion.
- ICL
numeric. Value of the ICL criterion.
- MICL
numeric. Value of the MICL criterion.
- nbparam
integer. Number of parameters.
- cvrate
numeric. Rate of convergence of the alternated algorithm for optimizing the MICL criterion.
- degeneracyrate
numeric. Rate of degeneracy for the selected model.
- discrim
numeric. Discriminative power of each variable.
Examples
1
getSlots("VSLCMcriteria")
VarSelLCM documentation built on May 2, 2019, 4:59 p.m.
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Description
- loglikelihood
numeric. Log-likelihood
- AIC
numeric. Value of the AIC criterion.
- BIC
numeric. Value of the BIC criterion.
- ICL
numeric. Value of the ICL criterion.
- MICL
numeric. Value of the MICL criterion.
- nbparam
integer. Number of parameters.
- cvrate
numeric. Rate of convergence of the alternated algorithm for optimizing the MICL criterion.
- degeneracyrate
numeric. Rate of degeneracy for the selected model.
- discrim
numeric. Discriminative power of each variable.
Examples
1 | getSlots("VSLCMcriteria")
|
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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