qres.binom(glm.obj)
qres.pois(glm.obj)
qres.nbinom(glm.obj)
qres.gamma(glm.obj,dispersion=NULL)
qres.invgauss(glm.obj,dispersion=NULL)
qres.tweedie(glm.obj,dispersion=NULL)
glm
. The generalized linear model family is assumed to be binomial for qres.binom
, poisson for
qres.pois
, negative binomial for qres.nbinom
, Gamma for
qres.gamma
, inverse GNULL
, the dispersion will be estimated by its
Pearson estimator.residuals.glm
y <- rpois(20,lambda=4)
x <- 1:20
fit <- glm(y~x,family="poisson")
qr <- qres.pois(fit)
qqnorm(qr)
qqline(qr)
Run the code above in your browser using DataLab