Function reference • HLMdiag

All functions
`HLMresid()` `HLMresid.default()` `HLMresid.lmerMod()` `HLMresid.mer()` `diagnostics()` `group_qqnorm()` `ggplot_qqnorm()`	Defunct functions in package HLMdiag
`HLMdiag-deprecated`	Deprecated functions in HLMdiag
`HLMdiag`	Diagnostic tools for hierarchical (multilevel) linear models
`LSresids(<default>)` `LSresids(<mer>)` `LSresids(<lmerMod>)` `LSresids(<lme>)`	Calculating least squares residuals
`adjust_lmList(<formula>)`	Fitting Common Models via `lm`
`ahd`	Methylprednisolone data
`autism`	Autism data
`case_delete(<default>)` `case_delete(<mer>)` `case_delete(<lmerMod>)` `case_delete(<lme>)`	Case Deletion for `mer`/`lmerMod` objects
`compare_eb_ls()`	Visually comparing shrinkage and LS estimates
`mdffits(<default>)` `cooks.distance(<mer>)` `cooks.distance(<lmerMod>)` `cooks.distance(<lme>)` `mdffits(<mer>)` `mdffits(<lmerMod>)` `mdffits(<lme>)`	Influence on fixed effects of HLMs
`covratio(<default>)` `covtrace(<default>)` `covratio(<mer>)` `covratio(<lmerMod>)` `covratio(<lme>)` `covtrace(<mer>)` `covtrace(<lmerMod>)` `covtrace(<lme>)`	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>)` `hlm_influence(<lmerMod>)` `hlm_influence(<lme>)`	Calculating influence diagnostics for HLMs
`hlm_resid(<default>)` `hlm_resid(<lmerMod>)` `hlm_resid(<lme>)`	Calculating residuals from HLMs
`leverage(<default>)` `leverage(<mer>)` `leverage(<lmerMod>)` `leverage(<lme>)`	Leverage for HLMs
`pull_resid(<default>)` `pull_resid(<lmerMod>)` `pull_resid(<lme>)`	Computationally Efficient HLM Residuals
`radon`	Radon data
`resid_conditional(<default>)` `resid_conditional(<lmerMod>)` `resid_conditional(<lme>)`	Conditional residuals
`resid_marginal(<default>)` `resid_marginal(<lmerMod>)` `resid_marginal(<lme>)`	Marginal residuals
`resid_ranef()`	Random effects residuals
`rotate_ranef(<default>)` `rotate_ranef(<mer>)` `rotate_ranef(<lmerMod>)` `rotate_ranef(<lme>)`	Calculate s-dimensional rotated random effects
`rvc(<default>)` `rvc(<mer>)` `rvc(<lmerMod>)` `rvc(<lme>)`	Relative variance change for HLMs
`varcomp.mer()`	Extracting variance components
`wages`	Wages for male high school dropouts

Reference

All functions