Validate test-specific sample size requirements¶

Source: R/validation.R · Help: ?rvalidateSampleSize

Evaluates whether the supplied data meet the minimum observation counts required by individual heteroscedasticity diagnostics.

Usage¶

rvalidateSampleSize(test_name, model = NULL, data = NULL, groups = NULL, ...)

test_name: Name of the heteroscedasticity test whose requirements are being validated.
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.
groups: Optional grouping vector used for per-group requirements. If omitted, the function attempts to derive the grouping variable from ... when group_var is supplied.
...: Additional arguments forwarded to dynamic requirement functions (for example the number of lags in an ARCH LM test). Unused entries are ignored when computing static requirements.

A validation result describing whether the sample-size checks passed.