BorgDiagnosis: BorgDiagnosis S4 Class

In BORG: Bounded Outcome Risk Guard for Model Evaluation

BorgDiagnosis S4 Class

Description

Holds the result of borg_diagnose: a structured assessment of data dependency patterns that affect cross-validation validity.

Usage

## S4 method for signature 'BorgDiagnosis'
show(object)

Arguments

object

A BorgDiagnosis object to be printed.

Value

The BorgDiagnosis object, returned invisibly. Called for the side effect of printing a diagnostic summary to the console.

Slots

dependency_type

Character. Primary dependency type detected: "none", "spatial", "temporal", "clustered", or "mixed".

severity

Character. Overall severity: "none", "moderate", "severe".

recommended_cv

Character. Recommended CV strategy: "random", "spatial_block", "temporal_block", "group_fold", "spatial_temporal".

spatial

List. Spatial autocorrelation diagnostics with elements: detected (logical), morans_i (numeric), morans_p (numeric), range_estimate (numeric), effective_n (numeric), coords_used (character).

temporal

List. Temporal autocorrelation diagnostics with elements: detected (logical), acf_lag1 (numeric), ljung_box_p (numeric), decorrelation_lag (integer), embargo_minimum (integer), time_col (character).

clustered

List. Clustered structure diagnostics with elements: detected (logical), icc (numeric), n_clusters (integer), cluster_sizes (numeric), design_effect (numeric), group_col (character).

inflation_estimate

List. Estimated metric inflation from random CV with elements: auc_inflation (numeric, proportion), rmse_deflation (numeric), confidence (character: "low"/"medium"/"high"), basis (character).

n_obs

Integer. Number of observations in the dataset.

timestamp

POSIXct. When the diagnosis was performed.

call

Language object. The original call that triggered diagnosis.

See Also

borg_diagnose, borg_cv

BORG documentation built on March 20, 2026, 5:09 p.m.