addWellCalib: Visualizes a measure for well calibration on the RBP curve.
In RBPcurve: The Residual-Based Predictiveness Curve

Description Usage Arguments Value

View source: R/addWellCalib.R

A measure for a well calibrated model can be obtained by grouping the predicted probabilities via deciles yielding 10 groups. The equally collored areas belong to a specific group. When each of the two equally collored areas are similar, the model is well calibrated.

1 2	addWellCalib(obj, plot.values = TRUE, subplot.control = list(diff = TRUE), col = shape::greycol(10L, interval = c(0.3, 1)), pos = NULL)

`obj`	[`RBPObj`] Data container for RBP curve.
`plot.values`	[`logical(1)`] Whether the values of the corresponding measure should be added to the plot? Default is `FALSE`.
`subplot.control`	[`list`] A named list of arguments that will be passed to `barplot`. Additionally, you can set `diff = TRUE` to plot differences of the equally collored areas or `diff = FALSE` to directly plot the areas of the equally collored areas in juxtaposed bars.
`col`	[`character` \| `numeric`] A specification for the the plotting color for the areas.
`pos`	[`list`] A named List that determines the `x` and `y` positioning of a subplot that compares the areas in additional barplots (see `subplot`). Can be `NA` for no additional subplot. Default is `pos = NULL` for an auto positioning in the topleft quadrant.