Compare FDA Selection Methods

Runs multiple selection workflows on the same fda_design object and returns both the fitted objects and a comparison table.

Usage

compare_selection_methods(
  design,
  methods = c("stability", "interval", "selectboost"),
  stability_args = list(),
  interval_args = list(),
  selectboost_args = list(),
  plain_selectboost_args = list(),
  fdboost_model = NULL,
  fdboost_args = list()
)

Arguments

design

An fda_design object.

methods

Methods to run. Supported values are "stability", "interval", "selectboost", "plain_selectboost", and "fdboost".

stability_args, interval_args, selectboost_args, plain_selectboost_args

Named lists of arguments passed to the corresponding fitting functions.

fdboost_model

Optional fitted FDboost object used when methods includes "fdboost".

fdboost_args

Additional arguments passed to fdboost_stability_selection().

Value

An object of class fda_method_comparison.

Examples

sim <- simulate_fda_scenario(n = 24, grid_length = 16, seed = 1)
comparison <- compare_selection_methods(
  sim$design,
  methods = c("selectboost", "plain_selectboost"),
  selectboost_args = list(B = 3, steps.seq = 0.5, c0lim = FALSE),
  plain_selectboost_args = list(B = 3, steps.seq = 0.5, c0lim = FALSE)
)
summary(comparison)
#> FDA method comparison summary
#>   methods: selectboost, plain_selectboost 
#>        c0 n_selected_features n_selected_groups mean_feature_selection
#>  c0 = 0.5                  26                 4              0.5196078
#>  c0 = 0.5                  29                 4              0.5980392
#>  max_feature_selection mean_group_selection max_group_selection
#>                      1            0.7447917                   1
#>                      1            0.7864583                   1
#>             method
#>        selectboost
#>  plain_selectboost