poTest {car} | R Documentation |
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 class 'polr'
poTest(model, ...)
## S3 method for class 'poTest'
print(x, digits=3, ...)
Arguments
model |
a proptional-odds logit model fit by |
x |
an object produced by |
digits |
number of significant digits to print. |
... |
ignored. |
Value
poTest
returns an object meant to be printed showing the results of the tests.
Author(s)
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
if (require("MASS")){
.W <- Womenlf
.W$partic <- factor(.W$partic, levels=c("not.work", "parttime", "fulltime"))
poTest(polr(partic ~ hincome + children + region, data=.W))
}
[Package car version 3.1-2 Index]