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Get model-level statistics in tidy format

Source: R/07-diagnostics.R
br_get_model_stats.Rd

[Experimental]

Extracts per-model summary statistics (N, events, C-index, AIC, PH test, etc.) and returns them as a tidy data.frame. This complements br_get_results() which provides per-term estimates.

Usage

br_get_model_stats(breg, idx = NULL)

Arguments

breg

A regression object with results.

idx

Index or name (focal variable) of the model(s). If NULL, returns stats for all models.

Value

A data.frame with one row per model. Columns depend on model type:

  • Cox models: model, n, events, c_index, aic, ph_test_p, lr_test_p

  • GLM models: model, n, aic, deviance, df_residual

  • LM models: model, n, r_squared, adj_r_squared, df_residual

See also

Other accessors: accessors, br_diagnose(), br_predict()

Examples

m <- br_pipeline(survival::lung,
  y = c("time", "status"),
  x = colnames(survival::lung)[6:10],
  method = "coxph"
)
#> exponentiate estimates of model(s) constructed from coxph method at default
br_get_model_stats(m)
#>       model   n events   c_index      aic lr_test_p   ph_test_p
#> 1   ph.ecog 227    164 0.6044625 1473.393        NA 0.134113095
#> 2  ph.karno 227    164 0.5977865 1483.410        NA 0.008171405
#> 3 pat.karno 225    162 0.6072739 1457.029        NA 0.051965795
#> 4  meal.cal 181    134 0.5324953 1159.499        NA 0.043029792
#> 5   wt.loss 214    152 0.5250973 1362.734        NA 0.829888640