Description: A suite of diagnostic tools for two-level
normal hierarchical linear models. The package offers
not only traditional case-deletion diagnostics (Cook's
distance, covratio, covtrace, and MDFFITS) but also
provides graphics for residual analysis. Currently,
case deletion is performed by iteratively refitting the
model using lmer in the lme4 package, so for data sets
with many groups, computation is currently slow.

Depends: methods, lme4, MASS, ggplot2, plyr, reshape

Imports: stats4, methods, plyr, reshape2, MASS

Title: Diagnostic tools for hierarchical (multilevel) linear models
Description: 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
Imports: stats, stats4, methods, plyr, reshape2, MASS, Matrix

Description: 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.
Imports: ggplot2 (>= 0.9.2), stats, stats4, methods, plyr, reshape2,

Title: Diagnostic Tools for Hierarchical (Multilevel) Linear Models
(multilevel) linear models. The tools include
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.
Imports: ggplot2 (>= 0.9.2), stats, plyr, reshape2, MASS, Matrix,
Suggests: mlmRev, WWGbook, lme4 (>= 1.0), nlme

Imports: ggplot2 (>= 0.9.2), stats, methods, plyr, reshape2, MASS,

Authors@R: c(person("Adam", "Loy", email = "loyad01@gmail.com", role = c("cre", "aut")), person("Jaylin", "Lowe", role = "aut"), person("Jack", "Moran", role = "aut"))
can be fit using either lmer in the 'lme4' package or lme in the 'nlme' package.
Matrix, mgcv, dplyr, magrittr, stringr, purrr, tibble,
tidyselect, janitor, Rcpp, rlang, ggrepel
Suggests: mlmRev, WWGbook, lme4 (>= 1.0), nlme, testthat, knitr,