Validate diagnostics against reference implementations¶

Source: R/robust_implementations.R · Help: ?rvalidate_against_reference

Compares the package's test results with established implementations from other packages (currently lmtest and car). Differences exceeding the supplied tolerance are flagged.

Usage¶

rvalidate_against_reference(test_name, model, data, tolerance = 1e-06)

Arguments¶

test_name: Character scalar naming the diagnostic: "breusch_pagan", "studentized_bp", or "white".
model: A fitted stats::lm object representing the mean specification to be diagnosed.
data: A base::data.frame (or object coercible to one) containing the variables referenced by model. It must include the observations used to fit model and will be checked for missing values.
tolerance: Acceptable absolute difference between statistics and p-values when comparing to the reference implementation.

Value¶

A list describing the comparison, including a status field with values "ok", "mismatch", or "skipped" when the reference package is unavailable.

Deprecated¶

Deprecated since 0.14.0: an internal helper of the package, which leaves the exports in 1.0.0. It still works and warns.