varcube function

Variance of CUBE models without covariates

Variance of CUBE models without covariates

Compute the variance of a CUBE model without covariates.

varcube(m,pai,csi,phi)

Arguments

  • m: Number of ordinal categories
  • pai: Uncertainty parameter
  • csi: Feeling parameter
  • phi: Overdispersion parameter

Examples

m<-7 pai<-0.8 csi<-0.2 phi<-0.05 varianceCUBE<-varcube(m,pai,csi,phi)

References

Iannario, M. (2014). Modelling Uncertainty and Overdispersion in Ordinal Data, Communications in Statistics - Theory and Methods, 43 , 771--786

See Also

probcube, expcube

  • Maintainer: Rosaria Simone
  • License: GPL-2 | GPL-3
  • Last published: 2024-02-23

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