Plot variable selection performance

Usage

plot_submod_performance(x)

plot_var_ranking(x)

Arguments

x: An object of class ermod_bin_cov_sel

Value

No return value, called for plotting side effect.

Details

plot_submod_performance() plots the performance of submodels evaluated during variable selection.

plot_var_ranking() plots the variable ranking evaluated during variable selection.

Examples

# \donttest{
data(d_sim_binom_cov_hgly2)

er_binary_cov_model_kfold <- dev_ermod_bin_cov_sel(
  data = d_sim_binom_cov_hgly2,
  var_resp = "AEFLAG",
  var_exposure = "AUCss_1000",
  var_cov_candidate = c(
    "BAGE_10", "BWT_10", "BGLUC",
    "BHBA1C_5", "RACE", "VISC"
  ),
  cv_method = "kfold",
  k = 3, # Choose 3 to make the example go fast
  validate_search = TRUE,
)
#> 
#> ── Step 1: Full reference model fit ──
#> 
#> ── Step 2: Variable selection ──
#> 
#> Fitting model 1 out of 3
#> Fitting model 2 out of 3
#> Fitting model 3 out of 3
#> ℹ The variables selected were: AUCss_1000, BHBA1C_5, BGLUC
#> 
#> ── Step 3: Final model fit ──
#> 
#> ── Cov mod dev complete ──
#> 

plot_submod_performance(er_binary_cov_model_kfold)

plot_var_ranking(er_binary_cov_model_kfold)

# }