Running ‘guImmun.R’ [462s/523s]
  Running ‘lmerTest.R’ [7s/18s]
Running the tests in ‘tests/lmerTest.R’ failed.
Complete output:
  > ####  LMER: Put all the small data set tests into one file
  > library(mlmRev)
  Loading required package: lme4
  Loading required package: Matrix
  > options(digits=6, show.signif.stars = FALSE)
  > 
  > ## bdf ---------------- Data ---------------------
  > (fm01 <- lmer(langPOST ~ IQ.ver.cen + avg.IQ.ver.cen +         (1|schoolNR), bdf))
  Linear mixed model fit by REML ['lmerMod']
  Formula: langPOST ~ IQ.ver.cen + avg.IQ.ver.cen + (1 | schoolNR)
     Data: bdf
  REML criterion at convergence: 15232.2
  Random effects:
   Groups   Name        Std.Dev.
   schoolNR (Intercept) 2.81    
   Residual             6.49    
  Number of obs: 2287, groups:  schoolNR, 131
  Fixed Effects:
     (Intercept)      IQ.ver.cen  avg.IQ.ver.cen  
           40.74            2.41            1.59  
  > (fm02 <- lmer(langPOST ~ IQ.ver.cen + avg.IQ.ver.cen +(IQ.ver.cen|schoolNR), bdf))
  Linear mixed model fit by REML ['lmerMod']
  Formula: langPOST ~ IQ.ver.cen + avg.IQ.ver.cen + (IQ.ver.cen | schoolNR)
     Data: bdf
  REML criterion at convergence: 15217.9
  Random effects:
   Groups   Name        Std.Dev. Corr 
   schoolNR (Intercept) 2.842         
            IQ.ver.cen  0.456    -0.64
   Residual             6.430         
  Number of obs: 2287, groups:  schoolNR, 131
  Fixed Effects:
     (Intercept)      IQ.ver.cen  avg.IQ.ver.cen  
           40.75            2.46            1.41  
  > ##
  > anova(fm01, fm02)
  refitting model(s) with ML (instead of REML)
  Data: bdf
  Models:
  fm01: langPOST ~ IQ.ver.cen + avg.IQ.ver.cen + (1 | schoolNR)
  fm02: langPOST ~ IQ.ver.cen + avg.IQ.ver.cen + (IQ.ver.cen | schoolNR)
       Df   AIC   BIC logLik deviance Chisq Chi Df Pr(>Chisq)
  fm01  5 15238 15266  -7614    15228                        
  fm02  7 15228 15268  -7607    15214 14.01      2   0.000905
  > cat('Time elapsed: ', (.pt <- proc.time()),'\n') # "stats"
  Time elapsed:  4.839 0.488 5.593 0.003 0.023 
  > 
  > ## egsingle ----------- Data ---------------------
  > (fm1 <- lmer(math ~ year +    (1|childid) +    (1|schoolid), egsingle))
  
   *** caught segfault ***
  address a8, cause 'memory not mapped'