Skip to contents

Protocol class for ANOVA participation

Source: R/model-anova-mod.R
anova_able.Rd

Any model result container that should participate in anova() must inherit from anova_able. Subclasses fill the four required slots; build_anova() reads only those slots and dispatches the test statistic computation on @family.

Usage

anova_able(
  terms = NULL,
  df_residual = integer(0),
  deviance = integer(0),
  dispersion = integer(0),
  family = "gaussian"
)

Slots

terms

The model terms object. Used to verify response consistency.

df_residual

Residual degrees of freedom.

deviance

Scalar deviance measure. For Gaussian LMs this is the residual sum of squares. For GLMs this is the model deviance from stats::deviance().

dispersion

Scalar dispersion parameter. For Gaussian LMs this is sigma^2 (rss / df_residual). For GLMs with a known dispersion (binomial, Poisson) set to 1. For quasi-families use the estimated Pearson dispersion.

family

A string identifying the error family, e.g. "gaussian", "binomial", "poisson". Used by build_anova() to select the correct test statistic. Must be consistent across all models passed to a single anova() call.

See also

anova()