leCessie.test: The le Cessie-van Houwelingen Test

In USGS-R/smwrStats: R functions to support statistical methods in water resources

The le Cessie-van Houwelingen Test

Description

Performs the le Cressie-van Houwelingen test for goodness-of-fit for a logistic regression model.

Usage

leCessie.test(object, bandwidth, newterms)

Arguments

object	an object of class "glm" on which to perform the test.
bandwidth	the bandwidth for smoothing the residuals.
newterms	any new variables to add to the model. Expressed as the right-hand side of a formula.

Details

If bandwidth is missing, then the mean distance between observations is used.

Value

An object of class "lecessie" having these components:

method	a description of the method.
statistic	the test statistic.
parameters	the degrees of freedom of the chi-squared test.
p.value	the attained p-level of the test statistic.
data.name	the name of object.
alternative	the alternate hypothesis–"some lack of fit."
estimate	the estimated values for the test.
object	the original object.
target.object	the object with any added newterms.
bandwidth	the bandwidth used for smoothing the residuals.
max.distance	the maximum distance between observations.
smoothed.residuals	the smoothed residuals.
distance.matrix	a matrix of the distances between observations.
hat	the hat matrix.

Note

The null hypothesis is "no lack of fit." Rejection of the null hypothesis indicates "some lack of fit."

References

le Cessie, S. and van Houwelingen, H.C., 1995, Testing the fit of a regression model via score tests in random effects models: Biometrics, v. 51, p 600-614.

See Also

binaryReg

USGS-R/smwrStats documentation built on Oct. 11, 2022, 6:15 a.m.