vcov.lmerMod(full = TRUE) and estfun.lmerMod() returned the random
effect (co)variance results in an order that did not match their labels
when a random effect block was 3x3 or larger, so results depended on the
order in which random effects were entered in the model formula
(Github issue #2, reported by James Pustejovsky). The parameter index
matrix is now built from Lambdat, which Lind actually indexes,
instead of Lambda.
vcov.lmerMod(full = TRUE, information = "observed") failed for REML
fits because the internal Hessian entries were not coerced to numeric.
New regression tests covering Github issues #2 and #3, and updated lavaan model syntax (Github issue #4, reported by Yves Rosseel).
Documentation fixes, including the bread.glmerMod() man page
(contributed by Ben Bolker).
Suggested packages (mirt, lmeInfo, nlme, smdata) are now used conditionally in tests, and the duplicated Suggests field in DESCRIPTION was merged.
estfun.glmerMod() and llcont.glmerMod() failed with
"subscript out of bounds" when the cluster id variable was not a
consecutive integer sequence starting at 1 (e.g., character ids or
arbitrary numeric ids; Github issue #3, reported by teindor). Cluster
rows are now looked up by name rather than by coerced numeric index.
Internal class(x) == "..." comparisons were replaced with
inherits(), avoiding "condition has length > 1" errors on
R >= 4.2.0 for models whose family was specified as a function.
estfun.glmerMod() support for
binomial and poisson families fit with glmer(), with scores of
cluster-wise log-likelihoods computed via adaptive Gauss-Hermite
quadrature.