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car (version 3.1-3)

poTest: Test for Proportional Odds in the Proportional-Odds Logistic-Regression Model

Description

The poTest function implements tests proposed by Brant (1990) for proportional odds for logistic models fit by the polr function in the MASS package.

Usage

poTest(model, ...)
# S3 method for polr
poTest(model, ...)
# S3 method for poTest
print(x, digits=3, ...)

Value

poTest returns an object meant to be printed showing the results of the tests.

Arguments

model

a proptional-odds logit model fit by polr.

x

an object produced by poTest.

digits

number of significant digits to print.

...

ignored.

Author

John Fox jfox@mcmaster.ca

References

R. Brant, "Assessing proportionality in the proportional odds model for ordinal logistic regression." Biometrics 46: 1171--1178, 1990.

Examples

Run this code
if (require("MASS")){
    .W <- Womenlf
    .W$partic <- factor(.W$partic, levels=c("not.work", "parttime", "fulltime"))
    poTest(polr(partic ~ hincome + children + region, data=.W))
}

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