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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:
  • psiestimated break-points and relevant (approximate) standard errors
  • Ttableestimates 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 Even the p-values relevant to the difference-in-slope parameters have been replaced by NA, since they are meaningless in this case, see davies.test
  • .
  • gapestimated 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

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

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