This function calculates the relative variance change (RVC) of
hierarchical linear models fit via lmer.
# S3 method for default
rvc(object, ...)# S3 method for mer
rvc(object, level = 1, delete = NULL, ...)
# S3 method for lmerMod
rvc(object, level = 1, delete = NULL, ...)
# S3 method for lme
rvc(object, level = 1, delete = NULL, ...)
fitted object of class mer or lmerMod
do not use
variable used to define the group for which cases will be
deleted. If level = 1 (default), then individual cases will be deleted.
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.
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.
Dillane, D. (2005) Deletion Diagnostics for the Linear Mixed Model. Ph.D. thesis, Trinity College Dublin
leverage.mer,
cooks.distance.mer, mdffits.mer,
covratio.mer, covtrace.mer