summary.rt: Summarizing Regression Trunk Model Fits from stima

In stima: Simultaneous Threshold Interaction Modeling Algorithm

Description

summary method for class “rt” (i.e. a regression trunk)

Usage

## S3 method for class 'rt'
summary(object, digits = 3,...)

Arguments

object	an object of class rt, usually a result of a call to stima using the default option:model="regtrunk"
digits	the number of decimals to used in the output.
...	Additional arguments to be passed

Value

The function summary.rt returns the goodness-of-fit summary of the estimated regression trunk model, using the components “goffull” and, if available, “gofsel”.

full

goodness-of-fit estimates of the full regression trunk model estimated after 1 split through the model estimated after the maximum number of splits. f2 = the effect size of the indicator variable added to the model after a split. RE = apparent error; SE = standard error of RE; REcv = cross-validated error; SEcv = standard error of REcv. If available: REcvm = Average cross-validated error; SEcvm = standard error of REcvm.

selected

goodness-of-fit estimates of the selected regression trunk model (if applicable).

See Also

stima.control,stima,plot.rt

stima documentation built on June 3, 2019, 5:04 p.m.