HLMdiag                 Diagnostic tools for hierarchical (multilevel)
                        linear models
HLMdiag-defunct         Defunct functions in package HLMdiag
HLMdiag-deprecated      Deprecated functions in HLMdiag
LSresids.default        Calculating least squares residuals
adjust_lmList.formula   Fitting Common Models via 'lm'
ahd                     Methylprednisolone data
autism                  Autism data
case_delete.default     Case Deletion for 'mer'/'lmerMod' objects
compare_eb_ls           Visually comparing shrinkage and LS estimates
covratio.default        Influence on precision of fixed effects in HLMs
dotplot_diag            Dot plots for influence diagnostics
extract_design          Extracting covariance matrices from lme
hlm_augment             Calculating residuals and influence diagnostics
                        for HLMs 'hlm_augment' is used to compute
                        residuals, fitted values, and influence
                        diagnostics for a hierarchical linear model.
                        The residuals and fitted values are computed
                        using Least Squares(LS) and Empirical Bayes
                        (EB) methods. The influence diagnostics are
                        computed through one step approximations.
hlm_influence.default   Calculating influence diagnostics for HLMs
hlm_resid.default       Calculating residuals from HLMs
leverage.default        Leverage for HLMs
mdffits.default         Influence on fixed effects of HLMs
pull_resid.default      Computationally Efficient HLM Residuals
radon                   Radon data
resid_conditional.default
                        Conditional residuals
resid_marginal.default
                        Marginal residuals
resid_ranef             Random effects residuals
rotate_ranef.default    Calculate s-dimensional rotated random effects
rvc.default             Relative variance change for HLMs
varcomp.mer             Extracting variance components
wages                   Wages for male high school dropouts
