3
## test AGQ=10 against glmmML results
4
g1 <- glmer(cbind(incidence, size - incidence) ~ period + (1 | herd),
5
family = binomial, data = cbpp, nAGQ=10)
6
getinfo.merMod <- function(m) c(fixef(m),deviance=deviance(m))
8
i1 <- getinfo.merMod(g1)
11
## comment to avoid R CMD check complaints
13
getinfo.glmmML <- function(m) c(coef(m),deviance=deviance(m))
14
i2 <- getinfo.glmmML(glmmML(cbind(incidence, size - incidence) ~ period,
21
i2 <- structure(c(-1.39924138019006, -0.991381753243723, -1.12782730029348,
22
-1.57948092000465, 100.010029977086), .Names = c("(Intercept)",
23
"period2", "period3", "period4", "deviance"))
25
stopifnot(all.equal(i1,i2,tol=1e-6))