Create a comprehensive diagnostic dashboard

Usage

tl_diagnostic_dashboard(
  model,
  include_influence = TRUE,
  include_assumptions = TRUE,
  include_performance = TRUE,
  arrange_plots = "grid"
)

Arguments

model: A tidylearn model object
include_influence: Logical; whether to include influence diagnostics
include_assumptions: Logical; whether to include assumption checks
include_performance: Logical; whether to include performance metrics
arrange_plots: Layout arrangement (e.g., "grid", "row", "column")

Value

A grid.arrange object (a grob) containing the arranged diagnostic plots.

Examples

# \donttest{
if (requireNamespace("gridExtra")) {
  model <- tl_model(mtcars, mpg ~ wt + hp, method = "linear")
  tl_diagnostic_dashboard(model)
}

#> TableGrob (3 x 3) "arrange": 7 grobs
#>                     z     cells    name           grob
#> residuals_vs_fitted 1 (1-1,1-1) arrange gtable[layout]
#> residual_hist       2 (1-1,2-2) arrange gtable[layout]
#> qq_plot             3 (1-1,3-3) arrange gtable[layout]
#> cook_distance       4 (2-2,1-1) arrange gtable[layout]
#> leverage_plot       5 (2-2,2-2) arrange gtable[layout]
#> assumptions         6 (2-2,3-3) arrange gtable[layout]
#> performance         7 (3-3,1-1) arrange gtable[layout]
# }