The whole of idea of 'level' in mixed models is confusing to some.
Professor Snijders (who teaches our students) and Professor Bates label
from opposite ends.
But, assuming this is my work in package MASS (Master Harwood: it is
childish, to put it mildly, to fail to give due credit), it follow
Mike Harwood gmail.com> writes:
> Is the labeling/naming of levels in the documentation for the
> predict.glmmPQL function "backwards"? The documentation states "Level
> values increase from outermost to innermost grouping, with level zero
> corresponding to the population predictions". Taking
Is the labeling/naming of levels in the documentation for the
predict.glmmPQL function "backwards"? The documentation states "Level
values increase from outermost to innermost grouping, with level zero
corresponding to the population predictions". Taking the sample in
the documentation:
fit <- g
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