interval

0th

Percentile

Prediction and Confidence Intervals for glm Objects

Prediction and Confidence Intervals for glm Objects

Keywords
regression
Usage
interval(glm.object, ...)
# S3 method for glm
interval(glm.object, linkfit.object,
         type = c("link", "response"),
         conf.level = 0.95, ...)
Arguments
glm.object

result from a call to the glm function.

linkfit.object

result from a call to the predict function for the glm.object with type="link", se.fit=TRUE.

type

Either "link" or "response". See predict.glm for details.

conf.level

Confidence level, for example .95 for 95%.

Other arguments to be passed to predict.glm.

Value

Matrix with five columns: fit, ci.low, ci.hi, pi.low, pi.hi and as many rows as predict.glm returns.

Aliases
  • interval
  • interval.glm
Examples
# NOT RUN {
data(spacshu)
spacshu.bin.glm <- glm(damage ~ tempF, data=spacshu, family=binomial)

## observed data
spacshu.interval          <- interval(spacshu.bin.glm)

## new data, link
spacshu.interval.link     <- interval(spacshu.bin.glm, newdata=data.frame(tempF=30:85))

## new data, response
spacshu.interval.response <- interval(spacshu.bin.glm, newdata=data.frame(tempF=30:85),
                                      type="response")
# }
Documentation reproduced from package HH, version 3.1-35, License: GPL (>= 2)

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