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ordinal (version 2011.05-10)

Regression Models for Ordinal Data

Description

This package implements likelihood based models for ordinal (ordered categorical) data based on cumulative probabilities in the framework of cumulative link (mixed) models. This includes the important proportional odds model but also allows for general regression structures for location as well as scale of the latent distribution, i.e. additive as well as multiplicative structures, structured thresholds (cut-points), nominal effects, flexible link functions and random effects. Further, a range of estimation procedures and a range of auxiliary functions are implemented.

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Version

Install

install.packages('ordinal')

Monthly Downloads

66,614

Version

2011.05-10

License

GPL (>= 2)

Maintainer

Rune B Christensen

Last Published

May 16th, 2011

Functions in ordinal (2011.05-10)

clmm

Cumulative link mixed models
clm.control

Set control parameters for cumulative link models
addterm.clm

Try all one-term additions to and deletions from a model
update.clm

Update method for cumulative link models
confint.clm

Confidence intervals and profile likelihoods for parameters in cumulative link models
predict.clm

Predict Method for CLM fits
anova.clm

Likelihood ratio test of cumulative link models
wine

Bitterness of wine
profile.clmm

Confidence intervals and profile likelihoods for the standard deviation for the random term in cumulative link mixed models
soup

Discrimination study of packet soup
clmm.control

Set control parameters for cumulative link mixed models
clm

Cumulative link models