Running ‘AAAtest-all.R’ [114s/115s]
  Running ‘HSAURtrees.R’
  Running ‘REMLdev.R’
  Running ‘ST.R’
  Running ‘agridat_gotway.R’
  Running ‘bootMer.R’ [6s/10s]
  Running ‘boundary.R’
  Running ‘condVar.R’
  Running ‘confint.R’
  Running ‘devCritFun.R’
  Running ‘devfunQ.R’
  Running ‘drop.R’
  Running ‘drop1contrasts.R’
  Running ‘dynload.R’
  Running ‘elston.R’
  Running ‘evalCall.R’
  Running ‘extras.R’
  Running ‘falsezero_dorie.R’
  Running ‘fewlevels.R’ [11s/11s]
  Running ‘getME.R’
  Running ‘glmer-1.R’
  Running ‘glmerControlPass.R’
  Running ‘glmerWarn.R’
  Running ‘glmmExt.R’
  Running ‘glmmWeights.R’
  Running ‘hatvalues.R’
  Running ‘is.R’
  Running ‘lmList-tst.R’
  Running ‘lme4_nlme.R’
  Running ‘lmer-0.R’
Running the tests in ‘tests/lme4_nlme.R’ failed.
Complete output:
  > ## testing whether lme4 and nlme play nicely.  Only known issue
  > ## is lmList-masking ...
  > library("lme4")
  Loading required package: Matrix
  > library("nlme")
  
  Attaching package: 'nlme'
  
  The following object is masked from 'package:lme4':
  
      lmList
  
  > fm1_lmer <- lmer(Reaction ~ Days + (Days|Subject), sleepstudy)
  > fm1_lme <- lme(Reaction ~ Days, random=~Days|Subject, sleepstudy)
  > ## variance-covariance matrices: annoyingly different structures
  > vc_lmer <- VarCorr(fm1_lmer)
  > vc_lmerx <- c(diag(vc_lmer[[1]]),attr(vc_lmer[[1]],"correlation")[1,2])
  > vc_lme <- VarCorr(fm1_lme)
  > suppressWarnings(storage.mode(vc_lme) <- "numeric")
  > vc_lmex <- c(vc_lme[1:2,1],vc_lme[2,3])
  > stopifnot(all.equal(vc_lmex,vc_lmerx,tolerance=3e-5))
  > ## fixed effects (much easier)
  > stopifnot(all.equal(fixef(fm1_lmer),fixef(fm1_lme)))
  > stopifnot(all.equal(unname(unlist(unclass(ranef(fm1_lmer)))),
  +                     unname(unlist(unclass(ranef(fm1_lme)))),
  +           tolerance=2e-5))
  > 
  > fm1L_lme <- nlme::lmList(distance ~ age | Subject, Orthodont)
  > ## FIXME: lmList not working yet?
  > ## fm1L_lmer <- lme4::lmList(distance ~ age | Subject, Orthodont)
  > 
  > ## FIXME: test opposite order
  > 
  > proc.time()
     user  system elapsed 
    1.582   0.104   1.673