uwIntroStats (version 0.0.7)

predict.uRegress: Prediction Intervals for uRegress objects

Description

Produces prediction intervals for objects of class uRegress.

Usage

# S3 method for 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.

See Also

regress

Examples

# NOT RUN {
# 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)
# }