varcube: Variance of CUBE models without covariates
In CUB: A Class of Mixture Models for Ordinal Data
varcube R Documentation
Variance of CUBE models without covariates
Description
Compute the variance of a CUBE model without covariates.
Usage
varcube(m,pai,csi,phi)
Arguments
m
Number of ordinal categories
pai
Uncertainty parameter
csi
Feeling parameter
phi
Overdispersion parameter
References
Iannario, M. (2014). Modelling Uncertainty and Overdispersion in
Ordinal Data, Communications in Statistics - Theory and Methods, 43,
771–786
See Also
probcube, expcube
Examples
m<-7
pai<-0.8
csi<-0.2
phi<-0.05
varianceCUBE<-varcube(m,pai,csi,phi)
CUB documentation built on May 29, 2024, 5:23 a.m.
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| varcube | R Documentation |
Variance of CUBE models without covariates
Description
Compute the variance of a CUBE model without covariates.
Usage
varcube(m,pai,csi,phi)
Arguments
m |
Number of ordinal categories |
pai |
Uncertainty parameter |
csi |
Feeling parameter |
phi |
Overdispersion parameter |
References
Iannario, M. (2014). Modelling Uncertainty and Overdispersion in Ordinal Data, Communications in Statistics - Theory and Methods, 43, 771–786
See Also
probcube, expcube
Examples
m<-7
pai<-0.8
csi<-0.2
phi<-0.05
varianceCUBE<-varcube(m,pai,csi,phi)
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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