[R] models for polytomous data: "ordered factor response"
Martin Maechler
maechler at stat.math.ethz.ch
Tue Nov 13 09:14:50 CET 2001
>>>>> "Claudia" == Claudia Tebaldi <tebaldi at rap.ucar.edu> writes:
Claudia> I have a dataset whose response is a categorical variable of the
Claudia> ordinal scale type (6 levels).
Claudia> I'm interested in building classification models, and I'm
Claudia> wondering if there is something implemented in R (or its packages)
Claudia> that I'm not aware of, to treat the ordinal scale measurements
Claudia> straightforwardly. I can think of the alternative of building a
Claudia> conditional (hierarchical) binomial model by glm() or other binary
Claudia> classifiers, but besides that I'm kind of at a loss. (I'm
Claudia> familiar with classification methods for nominal scales, I haven't
Claudia> seen much for the ordinal kind). thanks in advance
> help(polr, package = MASS)
polr package:MASS R Documentation
Proportional Odds Logistic Regression
Description:
Fits a proportional odd logistic regression model to an ordered
factor response.
Usage:
polr(formula, data=NULL, weights, start, ..., subset,
na.action=na.fail, contrasts=NULL, Hess=FALSE)
....
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