HLMdiag

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.

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Description file content

Package
HLMdiag
Type
Package
Title
Diagnostic Tools for Hierarchical (Multilevel) Linear Models
Version
0.3.1
Date
2015-12-7
Author
Adam Loy
Maintainer
Adam Loy
Description
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.
Depends
R (>= 2.15.0)
Imports
ggplot2 (>= 0.9.2), stats, methods, plyr, reshape2, MASS, Matrix, RLRsim, mgcv
LinkingTo
Rcpp, RcppArmadillo
Suggests
mlmRev, WWGbook, lme4 (>= 1.0), nlme
License
GPL-2
LazyLoad
yes
LazyData
yes
Collate
'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'
URL
BugReports
https://github.com/aloy/HLMdiag/issues
NeedsCompilation
yes
Packaged
2015-12-11 19:26:48 UTC; loya
Repository
CRAN
Date/Publication
2015-12-12 09:41:00

install.packages('HLMdiag')

0.3.1

03 years ago

https://github.com/aloy/HLMdiag

Adam Loy

GPL-2

Depends on

R (>= 2.15.0)

Imports

ggplot2 (>= 0.9.2), stats, methods, plyr, reshape2, MASS, Matrix, RLRsim, mgcv

Suggests

mlmRev, WWGbook, lme4 (>= 1.0), nlme

Discussions