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> ## data set and formula extracted from ?prLogisticDelta example
> ##   (Thailand, clustered-data) in prLogistic package
> load(system.file("testdata","prLogistic.RData",package="lme4"))
> library(lme4)
Loading required package: Matrix
> 
> (testLevel <- lme4:::testLevel())
[1] 1
> if (testLevel > 2) {
+     print(system.time(
+     lme4_est <- glmer(rgi ~ sex + pped + (1|schoolid),
+                       data = dataset, family=binomial)
+     ))
+     lme4_results <- list(sigma= sqrt(unname(unlist(VarCorr(lme4_est)))),
+                          beta = fixef(lme4_est))
+ 
+     ## stored results from other pkgs
+     glmmML_est <- list(sigma = 1.25365353546143,
+                        beta = c("(Intercept)" = -2.19478801858317,
+                            "sex" = 0.548884468743364, "pped"= -0.623835613907385))
+     lme4.0_est <- list(sigma = 1.25369539060849,
+                        beta = c("(Intercept)" = -2.19474529099587,
+                            "sex" = 0.548900267825802, "pped"= -0.623934772981894))
+ 
+     source(system.file("test-tools-1.R", package = "Matrix"))#-> assert.EQ() etc
+     assert.EQ.(lme4_results, glmmML_est, tol=3e-3)
+     assert.EQ.(lme4_results, lme4.0_est, tol=3e-3)
+     print(lme4_est)
+ }
> 
> proc.time()
   user  system elapsed 
   1.57    0.23    1.79