Validate regression model inputs

Ensures that a supplied regression model satisfies the basic assumptions required by the heteroscedasticity testing infrastructure. The checks include class validation, successful fitting, availability of finite residuals, and minimum sample size requirements.

Usage

rvalidateModelInputs(model, test_name, min_obs = 10)

Arguments

model

A fitted model object produced by stats::lm() or stats::glm().

test_name

A scalar character identifier used in error messages to reference the calling test.

min_obs

Minimum number of observations required for the calling procedure. Defaults to 10.

Value

Invisibly returns model when validation passes.