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Running the tests in ‘tests/priorWeightsModComp.R’ failed.
Complete output:
  > library(lme4)
  Loading required package: Matrix
  > n <- nrow(sleepstudy)
  > v <- rpois(n,1) + 1
  > w <- 1/v
  > 
  > fm1    <- lmer(Reaction ~ Days + (Days | Subject), sleepstudy, REML=FALSE, weights=w)
  > fm2    <- lmer(Reaction ~ Days + (1    | Subject), sleepstudy, REML=FALSE, weights=w)
  > 
  > fm1.10 <- lmer(Reaction ~ Days + (Days | Subject), sleepstudy, REML=FALSE, weights=w*10)
  Warning messages:
  1: In checkConv(attr(opt, "derivs"), opt$par, ctrl = control$checkConv,  :
    unable to evaluate scaled gradient
  2: In checkConv(attr(opt, "derivs"), opt$par, ctrl = control$checkConv,  :
    Model failed to converge: degenerate  Hessian with 1 negative eigenvalues
  > fm2.10 <- lmer(Reaction ~ Days + (1    | Subject), sleepstudy, REML=FALSE, weights=w*10)
  > 
  > stopifnot(all.equal(anova(fm1, fm2)$Chisq[2],
  +                     anova(fm1.10, fm2.10)$Chisq[2]))
  Error: anova(fm1, fm2)$Chisq[2] and anova(fm1.10, fm2.10)$Chisq[2] are not equal:
    Mean relative difference: 0.4571124
  Execution halted