HLMdiag

Up to now diagnostics for mixed and hierarchical models have required much programming by the analyst, especially if one desires influence diagnostics. To help fill this need, HLMdiag:

• Provides convenience functions for residual analysis.

  • Allows the analyst to obtain residuals estimated by least squares (LS) or empirical Bayes (EB).
  • Allows the analyst to obtain different residual quantities (e.g. marginal, conditional, BLUPs for the two-level model).

• Implements influence analysis.

  • Leverage
  • Deletion diagnostics -- Cook's distance, MDFFITS, covariance ratio & trace, relative variance change

HLMdiag strives to provide an easy to use interface for models fit using lmer from the package lme4 that is draws from the ideas of influence.measures for regression diagnostics.

Development may be quite slow for a while, as I am finishing my degree, so please bear with me!

Development version

If you would like to download the development version of HLMdiag, I would recommend using Hadley Wickham's devtools package:

# install.packages("devtools")
library(devtools)
install_github("aloy/HLMdiag")