Package: robustlmm
Type: Package
Title: Robust Linear Mixed Effects Models
Version: 2.4-3
Date: 2021-02-09
Author: Manuel Koller
Maintainer: Manuel Koller <koller.manuel@gmail.com>
Description: A method 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 (>= 3.2.0)
Suggests: digest, reshape2, microbenchmark, emmeans (>= 1.4),
        estimability
Imports: ggplot2, lattice, nlme, methods, robustbase (>= 0.93), xtable,
        Rcpp (>= 0.12.2), fastGHQuad
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' 'emmeans.R'
LinkingTo: Rcpp, RcppEigen, robustbase, cubature (> 1.3-8)
Encoding: UTF-8
RcppModules: psi_function_module
SystemRequirements: C++11
NeedsCompilation: yes
Packaged: 2021-02-09 20:31:12 UTC; kollerma
Repository: CRAN
Date/Publication: 2021-02-10 10:40:19 UTC
Built: R 4.1.0; x86_64-apple-darwin17.0; 2021-02-20 08:04:47 UTC; unix
Archs: robustlmm.so.dSYM
