Package: robustlmm
Type: Package
Title: Robust Linear Mixed Effects Models
Version: 3.1-2
Date: 2022-12-05
Author: Manuel Koller
Maintainer: Manuel Koller <kollerma@proton.me>
Description: Implements the Robust Scoring Equations estimator to fit linear
    mixed effects models robustly.
    Robustness is achieved by modification of the scoring equations
    combined with the Design Adaptive Scale approach.
License: GPL-2
URL: https://github.com/kollerma/robustlmm
LazyLoad: yes
Depends: lme4 (>= 1.1-9), Matrix (>= 1.0-13), R (>= 3.5.0)
Suggests: ggplot2, reshape2, microbenchmark, emmeans (>= 1.4),
        estimability, lqmm, rlme, MASS, lemon, RColorBrewer, skewt, fs,
        dplyr, ggh4x, testthat
Imports: lattice, nlme, methods, robustbase (>= 0.93), xtable, Rcpp (>=
        0.12.2), fastGHQuad, parallel, rlang, utils
Collate: 'ghq.R' 'psiFunc2.R' 'AllClass.R' 'rlmer.R' 'accessors.R'
        'fromLme4.R' 'DAS-scale.R' 'fit.effects.R' 'helpers.R'
        'AllGeneric.R' 'lmer.R' 'mutators.R' 'plot.R'
        'generateAnovaDatasets.R' 'generateMixedEffectDatasets.R'
        'generateSensitivityCurveDatasets.R' 'manageDatasets.R'
        'fitDatasets.R' 'processFit.R' 'processFile.R'
        'simulationStudies.R' 'asymptoticEfficiency.R' 'emmeans.R'
LinkingTo: Rcpp, robustbase, Matrix
Encoding: UTF-8
RcppModules: psi_function_module
SystemRequirements: C++11
RoxygenNote: 7.2.2
Config/build/clean-inst-doc: false
NeedsCompilation: yes
Packaged: 2022-12-05 21:15:53 UTC; kollerma
Repository: CRAN
Date/Publication: 2022-12-08 10:10:02 UTC
Built: R 4.2.0; x86_64-apple-darwin17.0; 2022-12-09 13:44:01 UTC; unix
Archs: robustlmm.so.dSYM
