bootstrap_parametric_predict: Perform parametric bootstrap for predictions of generalized...

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

Perform parametric bootstrap for predictions of generalized linear model.

Description

This is the workhorse for the estimate_mean_response() 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_predict(fit, newdata, reps)

Arguments

fit	glm object defining the model for which the parameters are estimated.
newdata	new data set used to construct the predictions.
reps	scalar; number of bootstrap replications to perform.

Value

matrix with the same number of rows as rows of newdat and reps columns. Each row contains the bootstrap estimates of the corresponding prediction.

Examples

## Not run: 
fit <- glm(mpg ~ hp, data = mtcars)
bootstrap_parametric_predict(fit, mtcars, reps = 4999)

## End(Not run)

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