parameters 0.22.1
Breaking changes
- Revised calculation of the second generation p-value (SGPV) in
equivalence_test()
,
which should now be more accurate related to the proportion of the interval
that falls inside the ROPE. Formerly, the confidence interval was simply treated
as uniformly distributed when calculating the SGPV, now the interval is assumed
to be normally distributed.
New supported models
- Support for
svy2lme
models from package svylme.
Changes
standardize_parameters()
now also prettifies labels of factors.
Bug fixes
-
Fixed issue with
equivalence_test()
when ROPE range was not symmetrically
centered around zero (e.g.,range = c(-99, 0.1)
). -
model_parameters()
foranova()
from mixed models now also includes the
denominator degrees of freedom in the output (df_error
). -
print(..., pretty_names = "labels")
for tobit-models from package AER now
include value labels, if available. -
Patch release, to ensure that performance runs with older version of datawizard
on Mac OS X with R (old-release).