expcube function

Expectation of CUBE models

Expectation of CUBE models

Compute the expectation of a CUBE model without covariates.

expcube(m,pai,csi,phi)

Arguments

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

Examples

m<-10 pai<-0.1 csi<-0.7 phi<-0.2 meancube<-expcube(m,pai,csi,phi)

References

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

Iannario, M. (2015). Detecting latent components in ordinal data with overdispersion by means of a mixture distribution, Quality & Quantity, 49 , 977--987

See Also

varcube, varcub00, expcub00

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

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