R: Relative variance change for HLMs

rvc.default {HLMdiag}

R Documentation

Relative variance change for HLMs

Description

This function calculates the relative variance change (RVC) of hierarchical linear models fit via lmer.

Usage

## Default S3 method:
rvc(object, ...)

## S3 method for class 'mer'
rvc(object, level = 1, delete = NULL, ...)

## S3 method for class 'lmerMod'
rvc(object, level = 1, delete = NULL, ...)

## S3 method for class 'lme'
rvc(object, level = 1, delete = NULL, ...)

Arguments

`object`	fitted object of class `mer` or `lmerMod`
`...`	do not use
`level`	variable used to define the group for which cases will be deleted. If `level = 1` (default), then individual cases will be deleted.
`delete`	index of individual cases to be deleted. To delete specific observations the row number must be specified. To delete higher level units the group ID and `group` parameter must be specified. If `delete = NULL` then all cases are iteratively deleted.

Value

If delete = NULL a matrix with columns corresponding to the variance components of the model and rows corresponding to the deleted observation/group is returned.

If delete is specified then a named vector is returned.

The residual variance is named sigma2 and the other variance components are named D** where the trailing digits give the position in the covariance matrix of the random effects.

Author(s)

Adam Loy loyad01@gmail.com

References

Dillane, D. (2005) Deletion Diagnostics for the Linear Mixed Model. Ph.D. thesis, Trinity College Dublin