Package: robustlmm
Type: Package
Title: Robust Linear Mixed Effects Models
Version: 3.0-1
Date: 2022-08-05
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.
    Includes some references to the archived packages 'robustvarComp' and 'heavy'.
    Both packages are only needed to reproduce a simulation
    study and are not required for the running of the regular package
    functions. You can install both packages by downloading the latest
    version from the CRAN archive.
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: reshape2, microbenchmark, emmeans (>= 1.4), estimability,
        MatrixModels, heavy, lqmm, rlme, robustvarComp, MASS, lemon,
        RColorBrewer, skewt, fs, dplyr, ggh4x
Imports: ggplot2, 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, RcppEigen, robustbase, cubature (> 1.3-8)
Encoding: UTF-8
RcppModules: psi_function_module
SystemRequirements: C++11
RoxygenNote: 7.2.1
Config/build/clean-inst-doc: false
NeedsCompilation: yes
Packaged: 2022-08-06 21:19:12 UTC; kollerma
Repository: CRAN
Date/Publication: 2022-08-07 15:40:02 UTC
