This function calculates least squares (LS) residuals
found by fitting separate LS regression models to each case.
For examples see the documentation for HLMresid.
# S3 method for default
LSresids(object, ...)# S3 method for mer
LSresids(object, level, sim = NULL, standardize = FALSE, ...)
# S3 method for lmerMod
LSresids(object, level, standardize = FALSE, ...)
# S3 method for lme
LSresids(object, level, standardize = FALSE, ...)
an object of class mer or lmerMod.
do not use
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.
optional argument giving the data frame used for LS residuals. This is used mainly when dealing with simulations. Removed in version 0.3.2.
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.
Hilden-Minton, J. (1995) Multilevel diagnostics for mixed and hierarchical linear models. University of California Los Angeles.