'diagnostic_functions.R' 'group_level_residual_functions.R'
'identification.R' 'plot_functions.R' 'quantile_functions.R'
'adjust_formula_lmList.R' 'case_delete.R' 'LSresids.R'
'HLMresid.R' 'parse_formula.R'

methods, lme4, MASS, ggplot2, plyr, reshape

Diagnostic tools for hierarchical (multilevel) linear models
A suite of diagnostic tools for hierarchical (multilevel)
linear models. The package offers not only leverage and
traditional deletion diagnostics (Cook's distance, covratio,
covtrace, and MDFFITS) but also provides convenience functions
and graphics for residual analysis. The package assumes that
models were fit using the lme4 package.
stats, stats4, methods, plyr, reshape2, MASS, Matrix
'diagnostic_functions.R' 'group_level_residual_functions.R'
'identification.R' 'plot_functions.R' 'quantile_functions.R'
'adjust_formula_lmList.R' 'case_delete.R' 'LSresids.R'
'HLMresid.R' 'help.R' 'influence_functions.R'
'utility_functions.R'

A suite of diagnostic tools for hierarchical
(multilevel) linear models. The package offers
not only leverage and traditional deletion diagnostics (Cook's
distance, covratio, covtrace, and MDFFITS) but also provides
convenience functions and graphics for residual analysis. The package
assumes that models were fit using the lme4 package.
ggplot2 (>= 0.9.2), stats, stats4, methods, plyr, reshape2,
MASS, Matrix
'diagnostic_functions.R' 'group_level_residual_functions.R'
'identification.R' 'plot_functions.R' 'quantile_functions.R'
'adjust_formula_lmList.R' 'case_delete.R' 'LSresids.R'
'HLMresid.R' 'help.R' 'influence_functions.R'
'utility_functions.R' 'rotate_ranefs.R' 'autism.R' 'ahd.R'
'radon.R'

ggplot2 (>= 0.9.2), stats, stats4, methods, plyr, reshape2,
MASS, Matrix, Rcpp

Diagnostic Tools for Hierarchical (Multilevel) Linear Models
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,
but only two-level models fit using lme are currently supported.
ggplot2 (>= 0.9.2), stats, plyr, reshape2, MASS, Matrix,
RLRsim, mgcv