R Under development (unstable) (2023-11-02 r85465 ucrt) -- "Unsuffered Consequences"
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> if (.Platform$OS.type != "windows") {
+     library(lme4)
+     library(testthat)
+ 
+     ## [glmer(*, gaussian) warns to rather use lmer()]
+     m3 <- suppressWarnings(glmer(Reaction ~ Days + (Days|Subject), sleepstudy))
+     m4 <- lmer(Reaction ~ Days + (Days|Subject), sleepstudy)
+     m5 <- suppressWarnings(glmer(Reaction ~ Days + (Days|Subject), sleepstudy,
+                                  family=gaussian))
+     expect_equal(fixef(m3),fixef(m5))
+     ## hack call -- comes out unimportantly different
+     m4@call[[1]] <- quote(lme4::lmer)
+     expect_equal(m3,m4)
+     expect_equal(m3,m5)
+ 
+     ## would like m3==m5 != m4 ??
+     expect_equal(VarCorr(m4), VarCorr(m5), tolerance = 1e-14)
+     print(th4 <- getME(m4,"theta"))
+     expect_equal(th4, getME(m5,"theta"), tolerance = 1e-14)
+ 
+     ## glmer() - poly() + interaction
+     if (requireNamespace("mlmRev")) withAutoprint({
+         data(Contraception, package="mlmRev")
+         ## ch := with child
+         Contraception <- within(Contraception, ch <- livch != "0")
+         ## gmC1 <- glmer(use ~ poly(age,2) + ch + age:ch + urban + (1|district),
+         ##               Contraception, binomial)
+ ### not a 'warning' per se {cannot suppressWarnings(.)}:
+ ###    fixed-effect model matrix is rank deficient so dropping 1 column / coefficient
+ ### also printed with print(): labeled as  "fit warnings"
+ 
+         ## ==> from ../R/modular.R  chkRank.drop.cols()
+         ## --> Use   control = glmerControl(check.rankX = "ignore+drop.cols"))
+         ## because further investigation shows "the problem" is really already
+         ##     in model.matrix():
+         set.seed(101)
+         dd <- data.frame(ch = c("Y","N")[1+rbinom(12, 1, 0.7)], age = rlnorm(12, 16))
+         colnames(mm1 <- model.matrix( ~ poly(age,2) + ch + age:ch, dd))
+         ## "(Int.)" "poly(age, 2)1" "poly(age, 2)2" "chY" "chN:age" "chY:age"      
+         ## If we make the poly() columns to regular variables, can interact:
+         d2 <- within(dd, { p2 <- poly(age,2); ageL <- p2[,1]; ageQ <- p2[,2]; rm(p2)})
+         ## then, we can easily get what want
+         (mm2 <- model.matrix( ~ ageL+ageQ + ch + ageL:ch, d2))
+         ## actually even more compactly now ("drawback": 'ageQ' at end):
+         (mm2. <- model.matrix( ~ ageL*ch + ageQ, d2))
+         cn2 <- colnames(mm2)
+         stopifnot(identical(mm2[,cn2], mm2.[,cn2]))
+     })
+ } ## skip on windows (for speed)
> 
> proc.time()
   user  system elapsed 
   0.21    0.01    0.21