[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


     Fits a proportional odd logistic regression model to an ordered
     factor response.


     polr(formula, data=NULL, weights, start, ..., subset, 
          na.action=na.fail, contrasts=NULL, Hess=FALSE)


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