Description Usage Arguments Value References See Also Examples
View source: R/betabinomialcsi.R
Compute the Beta-Binomial probabilities of given ordinal responses, with feeling parameter specified for each observation, and with the same overdispersion parameter for all the responses.
1 | betabinomialcsi(m,ordinal,csivett,phi)
|
m |
Number of ordinal categories |
ordinal |
Vector of ordinal responses. Missing values are not allowed: they should be preliminarily deleted or imputed |
csivett |
Vector of feeling parameters of the Beta-Binomial distribution for given ordinal responses |
phi |
Overdispersion parameter of the Beta-Binomial distribution |
A vector of the same length as ordinal: each entry is the Beta-Binomial probability for the given observation for the corresponding feeling and overdispersion parameters.
Iannario, M. (2014). Modelling Uncertainty and Overdispersion in Ordinal Data,
Communications in Statistics - Theory and Methods, 43, 771–786
Piccolo D. (2015). Inferential issues for CUBE models with covariates.
Communications in Statistics - Theory and Methods, 44(23), 771–786.
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