anova-methods: Methods for Function anova in Package "bild"

In bild: A Package for BInary Longitudinal Data

Methods for Function anova in Package "bild"

Description

Compute an analysis deviance table for two fitted model objects.

Usage

## S4 method for signature 'bild'
anova(object, ..., test = TRUE, correct = FALSE)

Arguments

object	an object of class bild.
...	an object of class bild.
test	an optional logical value controlling whether likelihood ratio tests should be used to compare the fitted models represented by object and by y. The default is TRUE.
correct	an optional logical value controlling whether the p-value of the likelihood ratio test must be corrected. The default is FALSE.

Details

correct = TRUE is used to test the presence of a random intercept term and the solution proposed by Self and Liang (1987) is adopted only to the p-value.

Warning

The comparison between two models by anova will only be valid if they are fitted to the same dataset.

Methods

signature(object = "ANY"):

Generic function.

signature(object="bild"):

Anova for bild object.

References

Self, Steven G. and Liang, Kung-Yee (1987). Asymptotic properties of maximum likelihood estimators and likelihood ratio tests under nonstandard conditions. Journal of the American Statistical Association, 82, 605-610.

Examples

#####  data = locust

loc1 <- bild(move~(time+I(time^2))*feed*sex, data=locust, dependence="MC1")

loc2 <- bild(move~(time+I(time^2))*feed, data=locust, dependence="MC1")

anova(loc1,loc2)

loc3 <- bild(move~(time+I(time^2))*feed, data=locust, dependence="MC2")

anova(loc3,loc2)

#####  data= muscatine
 
# we decompose the time effect in orthogonal components
muscatine$time1 <- c(-1, 0, 1)
muscatine$time2 <- c(1, -2, 1)

musc1 <- bild(obese~time1, data=muscatine, time="time1", 
        dependence="MC1")

musc1r <- bild(obese~time1, data=muscatine, time="time1", 
        dependence="MC1R")

anova(musc1, musc1r, correct=TRUE)

bild documentation built on Nov. 3, 2023, 5:06 p.m.