This method provides a good visualization method for model results. Currently, only methods for glmnet models are implemented.

## Arguments

- object
A model fit object.

- ...
For

`autoplot.glmnet()`

, options to pass to`ggrepel::geom_label_repel()`

. Otherwise, this argument is ignored.- min_penalty
A single, non-negative number for the smallest penalty value that should be shown in the plot. If left

`NULL`

, the whole data range is used.- best_penalty
A single, non-negative number that will show a vertical line marker. If left

`NULL`

, no line is shown. When this argument is used, the ggrepl package is required.- top_n
A non-negative integer for how many model predictors to label. The top predictors are ranked by their absolute coefficient value. For multinomial or multivariate models, the

`top_n`

terms are selected within class or response, respectively.

## Value

A ggplot object with penalty on the x-axis and coefficients on the y-axis. For multinomial or multivariate models, the plot is faceted.

## Details

The glmnet package will need to be attached or loaded for
its `autoplot()`

method to work correctly.