rmngb (version 0.6-1)

diagBinom: Plot Diagnostics for Logistic Regressions

Description

Two plots are available: a plot of predicted against observed values, and an ROC curve assessing the classifying capacity of the model.

Usage

diagBinom(mod, type = 1:2,
ask = prod(par("mfcol")) < length(type) && dev.interactive())

Arguments

mod

a glm with a binomial family.

type

the plots wanted, with 1 for predicted against observed and 2 for an ROC curve.

ask

logical, if TRUE the user is asked before continuing to a new plot.

Value

Nothing of interest.

Details

More plots may be available in the future.

References

Inspired by the book by Hosmer and Lemeshow.

See Also

plot.lm.

Examples

require(stats)
model1 <- glm(case ~ spontaneous+induced, data = infert, family = binomial())
diagBinom(model1)