R version 4.4.0 alpha (2024-03-26 r86209 ucrt)
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Platform: x86_64-w64-mingw32/x64

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> if (.Platform$OS.type != "windows") {
+     library(lme4)
+ #### tests of getME()
+ 
+ ###  are names correct? --------------
+     if(getRversion() < "2.15")
+         paste0 <- function(...) paste(..., sep = '')
+     hasInms <- function(x) grepl("(Intercept", names(x), fixed=TRUE)
+     matchNms <- function(fm, PAR) {
+         stopifnot(is.character(vnms <- names(fm@cnms)))
+         mapply(grepl, paste0("^", vnms), names(PAR))
+     }
+     chkIMod <- function(fm) {## check "intercept only" model
+         b1 <- getME(fm,"beta")
+         f1 <- fixef(fm)
+         stopifnot(hasInms(f1), f1 == b1,
+                   hasInms(t1 <- getME(fm,"theta")), matchNms(fm, t1))
+     }
+ 
+     fm1 <- lmer(diameter ~ (1|plate) + (1|sample), Penicillin)
+     chkIMod(fm1)
+ 
+     fm2 <- lmer(angle ~ recipe * temperature + (1|recipe:replicate), cake)
+     stopifnot(fixef(fm2) == getME(fm2,"beta"))
+     getME(fm2,"theta")
+ 
+     getME(fm3 <- lmer(Reaction ~ Days + (Days|Subject), sleepstudy),
+           "theta")
+     getME(fm4 <- lmer(Reaction ~ Days + (1|Subject) + (0+Days|Subject), sleepstudy),
+           "theta")
+ 
+     ## internal consistency check ensuring that all allowed 'name's work (and are not empty):
+     (nmME <- eval(formals(lme4:::getME.merMod)$name))
+     chkMEs <- function(fm, nms) {
+         stopifnot(is.character(nms))
+         str(parts <- sapply(nms, getME, object = fm, simplify=FALSE))
+         isN <- sapply(parts, is.null)
+         stopifnot(identical(names(isN), nms), !any(isN))
+     }
+ 
+     chkMEs(fm1, nmME)
+     chkMEs(fm2, nmME)
+     chkMEs(fm3, nmME)
+     chkMEs(fm4, nmME)
+ 
+     ## multiple components can now be retrieved at once
+     gg <- getME(fm2,c("theta","beta"))
+     gg2 <- getME(fm2,c("theta","beta","X"))
+ 
+     ## list of Zt for each random-effects factor
+     lapply(getME(fm2,c("Ztlist")),dim)
+     ## Cholesky factors returned as a list of matrices
+     getME(fm1,"ST")
+     getME(fm2,"ST")
+ 
+     ## distinction between number of RE terms
+     ##  and number of RE grouping factors
+     stopifnot(getME(fm2,"n_rtrms")==1)
+     stopifnot(getME(fm2,"n_rfacs")==1)
+ 
+     lapply(getME(fm4,c("Ztlist")),dim)
+     stopifnot(getME(fm4,"n_rtrms")==2)
+     stopifnot(getME(fm4,"n_rfacs")==1)
+ 
+     stopifnot(getME(fm1,"sigma")==sigma(fm1))
+ } ## skip on windows (for speed)
> 
> proc.time()
   user  system elapsed 
   0.10    0.14    0.21