Diagnostic tools for two-level normal hierarchical linear models


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Documentation for package ‘HLMdiag’ version 0.1.0

Help Pages

case_delete Implementing Case Deletion.
compare_eb_ls Visually comparing shrinkage and LS estimates...
cooksd_hlm Calculating Cook's Distance...
covratio_hlm Calculating COVRATIO...
covtrace_hlm Calculating COVTRACE...
diagnostics Calculating diagnostics for hierarchical linear models.
dotplot_diag Dot plots for influence diagnostics...
ggplot_ppnorm Constructing a normal probability plot...
ggplot_qqnorm Constructing a normal quantile-quantile plot...
group_estimate_data Organizing the random effects found in case-deletion...
group_qqnorm Plotting numerous normal q-q plots on same plot...
identify_resid Identifying unusual points...
internal_cutoff Calculating a cutoff value for diagnostic measures...
LSresids Calculating case-level (level-1) least squares residuals...
mdffits_hlm Calculating Multivariate DFFITS...
order_group_est Ordering the random effects...
plot_group_est Ordering the random effects...
pplineInfo Adding a line to a normal probability plot...
ppnormBand Adding simultaneous confidence bands to normal probability plots...
qqlineInfo Adding a line to a normal quantile-quantile plot...
random_ls_coef Finding LS estimates for the random coefficient model...
sampleQuantiles Calculating quantiles...
wages Wages for male high school dropouts