ggeffects 1.2.2

General

• Added a new [.ggeffects function, which allows to subset ggeffects objects
  in the same way as regular data frames, i.e. it is now possible to do:

  gge <- ggpredict(model, "x1")
  gge[c(1:2)]
  

• Using a name for a vector variable in terms now works from inside functions.
  E.g., you can now do:

  foo <- function(data) {
    fit <- lm(barthtot ~ c12hour + c172code, data = data)
    v <- c(20, 50, 70)
    ggpredict(fit, terms = "c12hour [v]")
  }
  foo(efc)
  

• The colors argument in plot() can now also be applied to single-colored
  plots.

• hyothesis_test() gains a collapse_level argument, to collapse term labels
  that refer to the same levels into a singel unique level string.

Bug fixes

• Fixed issue with misplaced residuals when x-axis was categorical and the
  factor levels were not in alphabetical order.

• pool_predictions() now correctly handles models with transformed response
  variables (like log(y)) and returns the correct back-transformed pooled
  predictions (and their confidence intervals).

• Fixed issue with wrong computation of confidence intervals for models of class
  clm from package ordinal.

• Fixed failing tests due to changes in the logistf package, which now also
  supports emmeans. That means, ggemmeans() now also works for models from
  package logistf.

• Fixed bug in plot() when partial residuals were added (i.e. residuals = TRUE)
  and collapse.group was provided (in case of mixed models).

• Fixed issue with on-the-fly created factors inside formulas, which were not
  correctly treated as factors in the plot() method. This bug was related to
  recent changes in insight::get_data().

• Fixed issue with wrong labels in hyothesis_test() for comparisons with many
  rows, when betas starting with same digit were specified (e.g.
  test = "(b1-b13)=(b3-b15)").

• Fixed issue in hyothesis_test() for mixed models when focal terms included
  factors with factor levels that contained a comma.

• Fixed issue with missing confidence intervals for mixed models when one of
  the variable names contains white space characters (e.g. y ~ 'x a' + xb).