Comments (2)
It seems like you need to update your packages, especially package purrr.
from ggeffects.
That did the trick. Thank you!
from ggeffects.
Related Issues (20)
- 'Tweak' arguments of `plot.ggeffects()` not working HOT 1
- Error with model-averaged phylolm object
- Model averaged models with polynomial terms have no confidence intervals HOT 1
- Error: Unable to compute predicted values with this model. This error can arise when `insight::get_data()` is unable to extract the dataset from the model object HOT 6
- How to get t value of the two-way interaction in linear mixed-effect model? HOT 5
- Predicted proportions below zero for model-averaged binomial GLM HOT 1
- Averaged (marginal) predictions using {marginaleffects}
- missing errors when using fixest models HOT 4
- Colors not showing correctly when specifiying "show_data = T" in the plot method of ggpredict object HOT 1
- ggpredict produces single predicted value for continuous variable HOT 4
- Question about sources of uncertainty when estimatinc confidence intervals HOT 2
- Johnson-Neyman FDR Correction HOT 10
- Relicensing {ggeffects} HOT 5
- Error of ggpredict with glmmPQL HOT 3
- Population-level predictions for gam/comparable predictions for gam and glmer fits HOT 5
- plot a subset for 4-way-interactions HOT 3
- New incompatibilities with emmeans for quantile regression HOT 4
- ggpredict() does not recognise `` quoted response variable with a : symbol in mixed models HOT 1
- "Collapse_group" produces many data points HOT 4
- ggpredict doesn't work for vglm models where multiple.responses = TRUE HOT 1
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from ggeffects.