colordinal.mle: Column-wise MLE of the ordinal model without covariates

In MLE: Maximum Likelihood Estimation of Various Univariate and Multivariate Distributions

Column-wise MLE of the ordinal model without covariates

Description

Column-wise MLE of the ordinal model without covariates.

Usage

colordinal.mle(y, link = "logit")

Arguments

y	A numerical matrix with values 1, 2, 3,..., not zeros, or a data.frame with ordered factors.
link	This can either be "logit" or "probit". It is the link function to be used.

Details

Maximum likelihood of the ordinal model (proportional odds) is implemented. See for example the "polr" command in R or the examples.

Value

A list including:

param	A matrix with the intercepts (threshold coefficients) of the model applied to each column (or variable).
loglik	The log-likelihood values.

Author(s)

Michail Tsagris and Sofia Piperaki.

R implementation and documentation: Michail Tsagris [e-mail] and Sofia Piperaki [e-mail].

References

Agresti, A. (2002) Categorical Data. Second edition. Wiley.

See Also

ordinal.mle

Examples

y <- matrix( rbinom(100 * 10, 2, 0.5) + 1, ncol = 10 )
res <- colordinal.mle(y, link = "probit")

MLE documentation built on April 3, 2025, 10:02 p.m.