Summarizing model fits for segmented mixed-effects regression

summary method for class segmented.lme.

Usage

# S3 method for class 'segmented.lme'
summary(object, .vcov=NULL, digits = max(3, getOption("digits") - 3), ...)

<!-- %\method{print}{summary.segmented}(x, short=x$short, var.diff=x$var.diff,  -->
<!-- %    digits = max(3, getOption("digits") - 3), -->
<!-- %    signif.stars = getOption("show.signif.stars"),...) -->

Arguments

object: Object of class "segmented.lme".
.vcov: Optional. The full covariance matrix for the parameter estimates. If provided, standard errors are computed (and displayed) according to this matrix.

digits: controls number of digits printed in output.

...: further arguments.

Details

The function summarizes and prints the most relevant information on the segmented mixed fit. The output is similar to that returned by print.summary.lme

Value

A list (similar to one returned by segmented.lm) with estimates of the variance components, and point estimates, standard errors, DF, t-value and p-value for the fixed effects. p-values for the variables U and G0 are omitted as pointless.

Author

Vito M.R. Muggeo

Examples

##continues example from segmented.lme()
# summary(os)