bootstrap_parametric_null: Compare nested generalized linear models via parametric...

In reyesem/IntroAnalysis: Functions for introductory statistics using linear models

Compare nested generalized linear models via parametric bootstrapping.

Description

This is the workhorse for the compare_models() function when a generalized linear model is specified and parametric bootstrap is required. This is not meant to be called by the user directly.

Usage

bootstrap_parametric_null(fit1, fit0, reps)

Arguments

fit1	glm object defining the full model.
fit0	glm object defining the reduced model.
reps	scalar; number of bootstrap replications to perform.

Value

vector of length reps containing the test statistic from each bootstrap replication. It also has an attribute containing an ANOVA table comparing the two models.

Examples

## Not run: 
fit1 <- glm(mpg ~ hp, data = mtcars)
fit0 <- glm(mpg ~ 1, data = mtcars)

bootstrap_parametric_null(fit, fit0, reps = 4999)

## End(Not run)

reyesem/IntroAnalysis documentation built on March 29, 2025, 3:29 p.m.