Diagnostic Tools for Hierarchical (Multilevel) Linear Models
Fitting Common Models via lm
Case Deletion for mer/lmerMod objects
Visually comparing shrinkage and LS estimates
Influence on fixed effects of HLMs
Influence on precision of fixed effects in HLMs
Dot plots for influence diagnostics
Extracting covariance matrices from lme
Calculating residuals and influence diagnostics for HLMshlm_augment ...
Calculating influence diagnostics for HLMs
Calculating residuals from HLMs
Defunct functions in package HLMdiag
Deprecated functions in HLMdiag
Diagnostic tools for hierarchical (multilevel) linear models
Leverage for HLMs
Calculating least squares residuals
Computationally Efficient HLM Residuals
Conditional residuals
Marginal residuals
Random effects residuals
Calculate s-dimensional rotated random effects
Relative variance change for HLMs
Extracting variance components
A suite of diagnostic tools for hierarchical (multilevel) linear models. The tools include not only leverage and traditional deletion diagnostics (Cook's distance, covratio, covtrace, and MDFFITS) but also convenience functions and graphics for residual analysis. Models can be fit using either lmer in the 'lme4' package or lme in the 'nlme' package.