LSresids.mer: Calculating least squares residuals

In aloy/HLMdiag: Diagnostic Tools for Hierarchical (Multilevel) Linear Models

Description

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, standardize = FALSE, ...)

## S3 method for class 'lme'
LSresids(object, level, 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. Removed in version 0.3.2.
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.

Author(s)

Adam Loy [e-mail]

References

Hilden-Minton, J. (1995) Multilevel diagnostics for mixed and hierarchical linear models. University of California Los Angeles.

See Also

HLMresid

aloy/HLMdiag documentation built on May 4, 2021, 10:50 a.m.