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,
Allows the analyst to obtain different residual quantities (e.g. marginal, conditional, BLUPs for the two-level model).
Deletion diagnostics -- Cook's distance, MDFFITS, covariance ratio & trace
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!
If you would like to download the development version of
HLMdiag, I would recommend using Hadley Wickham's
# install.packages("devtools") library(devtools) install_github("HLMdiag", username = "aloy")