Dalex

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* The `plot.model_performance_roc`, `loss_one_minus_auc` and `model_performance_auc` functions are rewritten to handle repeated predictions ([442](https://github.com/ModelOriented/DALEX/issues/442))

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* The `plot` function works for list of explanations (if possible) ([424](https://github.com/ModelOriented/DALEX/issues/424))

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* Order of explainer labels in different plots is the same. To get to this point, orders in `plot.model_performance(..., geom = "histogram" & "boxplot")` are reversed ([400](https://github.com/ModelOriented/DALEX/issues/400))
* Fixed multiclass explainer when data has one column ([405](https://github.com/ModelOriented/DALEX/issues/405))

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* Now explainer handles R functions ([396](https://github.com/ModelOriented/DALEX/issues/396))
* `predict_parts` function handles the `N` argument natively ([394](https://github.com/ModelOriented/DALEX/issues/394))

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* All encouters of `nieghbour(s)` (EN-spelling) were replaced with `neighbor(s)` (US-spelling) for the consistency and backword compatibility.
* Fixed bug when `predict_diagnostics` raised error if `neighbor` value was higer than `nrow(explainer$data)`.

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* Added new parameter (`predict_function_target_column`) to `explain` function that allows specifying positive class in binary classification tasks ([250](https://github.com/ModelOriented/DALEX/issues/250)).
* Fixed `model_diagnostics()` returning an error when `data` is `matrix` ([355](https://github.com/ModelOriented/DALEX/issues/355))