This function calculates least squares (LS) residuals
found by fitting separate LS regression models to each case.
For examples see the documentation for HLMresid.
Usage
## Default S3 method:
LSresids(object, ...)
## S3 method for class 'mer'
LSresids(object, level, sim = NULL, standardize = FALSE, ...)
## S3 method for class 'lmerMod'
LSresids(object, level, sim = NULL, standardize = FALSE,
...)
Arguments
object
an object of class mer or lmerMod.
...
do not use
level
which residuals should be extracted: 1 for case-level
residuals or the name of a grouping factor (as defined in flist of the
mer object) for between-group residuals.
sim
optional argument giving the data frame used for LS residuals. This
is used mainly when dealing with simulations.
standardize
if TRUE the standardized level-1
residuals will also be returned (if level = 1); if "semi" then
the semi-standardized level-1 residuals will be returned.