Plot summary for model selection.

This plot is usefull to understand the different fits and their rank with respect to some scoring used to select the best model. The plot shows alternative solutions and their rank as well.

Usage

plot_model_selection(x, TOP = 6, nx = 3, ny = 2, ...)

Arguments

x

A list of fits computed via mobster_fit.

TOP

The first TOP fits are used (by ranking).

Value

A complex figure with all plots arranged using both ggpubr and cowplot.

Examples

data('fit_example', package = 'mobster')
plot_model_selection(fit_example)
#> Required TOP-6 solutions, but only 5 are available.