segmented (version 0.2-5)

summary.segmented: Summarizing model fits for segmented regression

Description

summary method for class segmented.

Usage

## S3 method for class 'segmented':
summary(object, short = FALSE, ...)

Arguments

object

Object of class "segmented"

short

logical indicating if the `short' summary should be printed

...

further arguments

Value

• A list (similar to one returned by segmented.lm or segmented.glm) with additional components:
• psi
  estimated break-points and relevant (approximate) standard errors
• Ttable
  estimates and standard errors of the model parameters. This is similar to the matrix coefficients returned by summary.lm or summary.glm, but without the rows corresponding to the breakpoints. Even the p-values relevant to the difference-in-slope parameters have been replaced by NA, since they are meaningless in this case, see davies.test
• .
• gap
  estimated coefficients, standard errors and t-values for the `gap' variables

Details

If short=TRUE only coefficients of the segmented relationships are printed.

See Also

print.segmented, davies.test

Examples

# continues example from segmented()
  # summary(segmented.model,short=TRUE)