https://github.com/cran/bbmle
Tip revision: 0877514d5b6d663f593fdd6d43310db0c48a650e authored by Ben Bolker on 14 September 2011, 15:14:32 UTC
version 1.0.3
version 1.0.3
Tip revision: 0877514
ICtab.R
library(bbmle)
set.seed(101)
z = rpois(100,lambda=5)
m1 = mle2(z~dpois(lambda=L),start=list(L=4),data=data.frame(z))
ICtab(m1,type="qAICc",dispersion=1.2,nobs=100)
m2 = glm(z~1,family=poisson)
qAICc(m2,nobs=100,dispersion=2)
