relimplmboot-class: Class relimplmboot

In relaimpo: Relative Importance of Regressors in Linear Models

Class relimplmboot

Description

This is the class for output objects from function boot.relimp. It is needed as input to function booteval.relimp.

Objects from the Class

Objects should only be created by calls to the function boot.relimp.

Slots

boot:

Object of class "boot", output from bootstrapping

type:

Object of class "character", metrics that have been bootstrapped

nboot:

Object of class "numeric", number of bootstrap runs

rank:

Object of class "logical", have ranks been bootstrapped ?

diff:

Object of class "logical", have differences been bootstrapped ?

rela:

Object of class "logical", have the metrics been forced to add up to 100pct (TRUE) or not?

fixed:

Object of class "logical", has bootstrapping been done for fixed (TRUE) or random (FALSE) regressors?

namen:

Object of class "character": variable names of all variables (y and the regressors)

nobs:

Object of class "numeric": number of valid observations used in calculations

always:

Object of class "numintnull": variables always in the model

alwaysnam:

Object of class "charnull": variable names of variables always in model

groupdocu:

Object of class "list": information on group definitions

wt:

Object of class "numintnull": observation weights

vcov:

Object of class "numintmatnull": variance-covariance matrix of the estimate

call:

Object of class "langnull": the call that created the object

Methods

This documentation section documents S4 methods only. There is an analogous S3-method for printing.

show

S4 method: identical to print

Author(s)

Ulrike Groemping, BHT Berlin

See Also

boot.relimp, booteval.relimp, relimplmbooteval-class,relimplmbootMI-class

relaimpo documentation built on Oct. 4, 2023, 5:09 p.m.