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MLE of the ordinal model without covariates.
ordinal.mle(y, link = "logit")
A list including:
The log-likelihood of the model.
The intercepts (threshold coefficients) of the model.
A numerical vector with values 1, 2, 3,..., not zeros, or an ordered factor.
This can either be "logit" or "probit". It is the link function to be used.
Michail Tsagris and Sofia Piperaki.
R implementation and documentation: Michail Tsagris mtsagris@uoc.gr and Sofia Piperaki sofiapip23@gmail.com.
Maximum likelihood of the ordinal model (proportional odds) is implemented. See for example the "polr" command in R or the examples.
Agresti, A. (2002) Categorical Data. Second edition. Wiley.
colordinal.mle
y <- factor( rbinom(100,3,0.5), ordered = TRUE ) res <- ordinal.mle(y) res <- ordinal.mle(y, link = "probit")
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