R Under development (unstable) (2023-11-02 r85465 ucrt) -- "Unsuffered Consequences"
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> ## original code for reading/aggregating:
> 
> ## tickdata <- read.table("Elston2001_tickdata.txt",header=TRUE,
> ##   colClasses=c("factor","numeric","factor","numeric","factor","factor"))
> 
> ## tickdata <- transform(tickdata,cHEIGHT=scale(HEIGHT,scale=FALSE))
> ## for (i in names(tickdata)) {
> ##   if (is.factor(tickdata[[i]])) {
> ##     tickdata[[i]] <- factor(tickdata[[i]],levels=sort(as.numeric(levels(tickdata[[i]]))))
> ##   }
> ## }
> ## summary(tickdata)
> ## grouseticks <- tickdata
> 
> ## library(reshape)
> ## meantick <- rename(aggregate(TICKS~BROOD,data=tickdata,FUN=mean),
> ##                    c(TICKS="meanTICKS"))
> ## vartick <- rename(aggregate(TICKS~BROOD,data=tickdata,FUN=var),
> ##                    c(TICKS="varTICKS"))
> ## uniqtick <- unique(subset(tickdata,select=-c(INDEX,TICKS)))
> ## grouseticks_agg <- Reduce(merge,list(meantick,vartick,uniqtick))
> 
> ## save("grouseticks","grouseticks_agg",file="grouseticks.rda")
> if (.Platform$OS.type != "windows") {
+     library(lme4)
+     data(grouseticks)
+     do.plots <- FALSE
+     form <- TICKS~YEAR+HEIGHT+(1|BROOD)+(1|INDEX)+(1|LOCATION)
+ 
+     ## fit with lme4
+     ## library(lme4)
+     ## t1 <- system.time(full_mod1  <- glmer(form, family="poisson",data=grouseticks))
+     ## c1 <- c(fixef(full_mod1),unlist(VarCorr(full_mod1)), logLik=logLik(full_mod1),time=t1["elapsed"])
+     ## allcoefs1 <- c(unlist(full_mod1@ST),fixef(full_mod1))
+     ## detach("package:lme4")
+ 
+     ## lme4 summary results:
+     t1 <- structure(c(1.288, 0.048, 1.36, 0, 0), class = "proc_time",
+                     .Names = c("user.self",
+                                "sys.self", "elapsed", "user.child", "sys.child"))
+ 
+     c1 <- structure(c(11.3559080756861, 1.1804105508475, -0.978704335712111,
+                       -0.0237607330254979, 0.293232458048324, 0.562551624933584,
+                       0.279548178949372,
+                       -424.771990224991, 1.36),
+                     .Names = c("(Intercept)", "YEAR96",
+                                "YEAR97", "HEIGHT", "INDEX", "BROOD", "LOCATION",
+                                "logLik", "time.elapsed"
+                                ))
+     allcoefs1 <- structure(c(0.541509425632023, 0.750034415832756,
+                              0.528723159081737,
+                              11.3559080756861, 1.1804105508475,
+                              -0.978704335712111, -0.0237607330254979
+                              ),
+                            .Names = c("", "", "", "(Intercept)",
+                                       "YEAR96", "YEAR97",  "HEIGHT"))
+ 
+     pars <- function(x) unlist(getME(x,c("theta","beta")))
+ 
+     if (lme4:::testLevel() > 1) {
+         t2 <- system.time(full_mod2  <- glmer(form, family="poisson",data=grouseticks))
+         ##>> 2 x checkConv(.. "derivs") warning: 1. failed to conv.  2. nearly unidentifiable
+         c2 <- c(fixef(full_mod2), unlist(VarCorr(full_mod2)),
+                 logLik = logLik(full_mod2), time= t2["elapsed"])
+         ## refit
+         ## FIXME: eventually would like to get _exactly_ identical answers on refit()
+         full_mod3 <- refit(full_mod2, grouseticks$TICKS)
+ 
+         print(    all.equal(pars(full_mod2), pars(full_mod3), tolerance=0))# -> 1.2e-5
+         stopifnot(all.equal(pars(full_mod2), pars(full_mod3), tolerance=8e-5))
+     }
+ 
+     ## deviance function
+     ## FIXME: does compDev do _anything_ any more?
+     mm  <- glmer(form, family="poisson", data=grouseticks, devFunOnly=TRUE)
+     mm2 <- glmer(form, family="poisson", data=grouseticks,
+                  devFunOnly=TRUE,control=glmerControl(compDev=TRUE))
+     stopifnot(all.equal(1780.5427072, mm(allcoefs1), tol = 1e-7))
+ } ## skip on windows (for speed)
> 
> proc.time()
   user  system elapsed 
   0.18    0.06    0.23