PredictCI: Confidence Intervals for Predictions of a GLM

In ModTools: Building Regression and Classification Models

Confidence Intervals for Predictions of a GLM

Description

Provides confidence intervals for predictions of a GLM.

Usage

PredictCI(mod, newdata, conf.level = 0.95)

Arguments

mod	the binomial model
newdata	the data to be predicted
conf.level	confidence level of the interval. Default is 0.95.

Details

The confidence intervals for predictions are calculated with the se of the model and the normal quantile.

Value

a matrix with 3 columns for the fit, the lower confidence interval and the upper confidence interval

Author(s)

Andri Signorell <[e-mail]>

References

https://stackoverflow.com/questions/14423325/confidence-intervals-for-predictions-from-logistic-regression

See Also

FitMod

Examples

r.logit <- FitMod(diabetes ~ age, d.pima, fitfn = "logit")
head(PredictCI(r.logit, newdata=d.pima))

ModTools documentation built on Sept. 30, 2024, 9:12 a.m.