Analysis of deviance table for nested spbp models

Compare nested MLE fits. With one model, builds a sequential table by refitting intercept-only and nested submodels along the formula term order (same idea as anova(fit) for survreg). With multiple models, compares each consecutive pair (same convention as anova(fit0, fit1) for survreg).

Usage

# S3 method for class 'spbp'
anova(object, ..., test = "Chisq")

Arguments

object

A fitted "spbp" object.

...

Additional nested fitted models (MLE, same family recommended).

test

Which test to report (only "Chisq" is supported).

Value

An "anova" object (also a data.frame). Pairwise comparisons use Terms, Resid. Df, -2*LL, Test, Df, Deviance, and Pr(>Chi) columns (as in survival::survreg). Sequential single-model tables use Df, Deviance, Resid. Df, -2*LL, and Pr(>Chi) with row names NULL and term labels.