predict.uRegress: Prediction Intervals for 'uRegress' objects

In uwIntroStats: Descriptive Statistics, Inference, Regression, and Plotting in an Introductory Statistics Course

Description

Produces prediction intervals for objects of class uRegress.

Usage

## S3 method for class 'uRegress'
predict(object,interval="prediction",level=0.95, ...)

Arguments

object	an object of class uRegress.
interval	Type of interval calculation
level	Tolerance/confidence level
...	other arguments to pass to the appropriate predict function for the class of object$fit. See predict.coxph, predict.lm, or predict.glm for more details. Predictions are not currently implemented for objects of type geeglm.

Value

Returns a matrix with the fitted value and prediction interval for the entered X.

Author(s)

Scott S. Emerson, M.D., Ph.D., Andrew J. Spieker, Brian D. Williamson

See Also

regress

Examples

# Loading required libraries
library(survival)
library(sandwich)

# Reading in a dataset
mri <- read.table("http://www.emersonstatistics.com/datasets/mri.txt",header=TRUE)
attach(mri)

# Linear regression of LDL on age (with robust SE by default)
testReg <- regress ("mean", ldl~age)

# 95% Prediction Interval for age 50
predict(testReg)

uwIntroStats documentation built on May 2, 2019, 4:34 a.m.