Release ggeffects 2.0.0 · strengejacke/ggeffects

Breaking changes

The way how type = "random" works has been revised. type = "random" no
longer returns predictions intervals. Instead, use interval = "prediction".
type = "random" is now mainly responsible for unit-level predictions in
mixed models, as opposed to type = "fixed", which should be used for
population-level predictions. The separation from type = "random" and
the interval argument makes the handling for mixed models easier, more
intuitive and consistent. Accordingly, the vignette regarding the introduction
into mixed models with ggeffects has been largely revised.
The vcov_fun and vcov_type argument were removed and are now replaced
by the single vcov argument, to be in line with the handling of
heteroscedasticity-consistent standard errors in other packages (mainly:
easystats eco-system).
The deprecated arguments for ggpredict(), vcov(), ggeffect() and
ggemmeans() have been removed.
The deprecated arguments for the plot() method have been removed.
Options type = "random" and type = "zi_random" are not longer available
for ggemmeans(). These were only responsible to set prediction intervals,
which can be done with interval = "prediction" now.

Added a get_preditions() method, which can be used to implement own S3-classes
to add support for new models to ggeffects. There is a corresponding
vignette, too.
The plot() method gets a dot_shape argument, to change the shape of data
points when show_data = TRUE.
test_predictions gains a test_args argument, to optionally pass further
options to test for emmeans engine/options.
vcov() returns a more informative warning, when the variance-covariance
matrix could not be extracted due to problems in creating the model matrix
(which prevents confidence intervals from being calculated).
Added Okabe-Ito color scale to the available color ggeffects-palettes.
For models of class survreg, argument type can also be "quantile".

Fixed issue with argument condition for ggaverage().
Fixed issues with missing confidence intervals for objects of class averaging.