Package: robustlmm Type: Package Title: Robust Linear Mixed Effects Models Version: 3.4-5 Date: 2026-06-21 Author: Manuel Koller [aut, cre] Authors@R: person(given = "Manuel", family = "Koller", role = c("aut", "cre"), email = "kollerma@proton.me") Maintainer: Manuel Koller 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 (>= 2.0-1), Matrix (>= 1.6-2), R (>= 3.5.0) Suggests: ggplot2, reshape2, microbenchmark, emmeans (>= 1.4), estimability, lqmm, MASS, lemon, RColorBrewer, skewt, fs, dplyr, ggh4x, testthat, robustvarComp, confintROB Imports: lattice, nlme, methods, robustbase (>= 0.93), xtable, Rcpp (>= 0.12.2), fastGHQuad, numDeriv, parallel, rlang, utils, reformulas Collate: 'ghq.R' 'psiFunc2.R' 'redescendingPsi.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' 'generateLongitudinalDatasets.R' 'plotLongitudinalBySubject.R' 'generateMixedEffectDatasets.R' 'generateSensitivityCurveDatasets.R' 'manageDatasets.R' 'ransac.R' 'influence.R' 'influence_full.R' 'bootstrapWald.R' 'fitDatasets.R' 'processFit.R' 'processFile.R' 'simulationStudies.R' 'asymptoticEfficiency.R' 'emmeans.R' LinkingTo: Rcpp, robustbase, Matrix Encoding: UTF-8 RcppModules: psi_function_module RoxygenNote: 7.3.3 Config/build/clean-inst-doc: false Config/pak/sysreqs: cmake make Repository: https://kollerma.r-universe.dev Date/Publication: 2026-06-21 09:49:42 UTC RemoteUrl: https://github.com/kollerma/robustlmm RemoteRef: HEAD RemoteSha: 9288758d503a3f39da866560c2cb6229546882e4 NeedsCompilation: yes Packaged: 2026-06-21 10:12:24 UTC; root