Package: robustlmm Type: Package Title: Robust Linear Mixed Effects Models Version: 3.5.1-1 Date: 2026-10-25 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 (>= 3.6.0) Suggests: ggplot2, reshape2, microbenchmark, emmeans (>= 1.4), estimability, lqmm, MASS, RColorBrewer, skewt, fs, dplyr, ggh4x, testthat, robustvarComp, confintROB, generics, tibble, R.rsp VignetteBuilder: R.rsp 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' 'sscale.R' 'checks.R' 'AllClass.R' 'control.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' 'df_satterthwaite.R' 'fragility.R' 'design_breakdown.R' 'bootstrapWald.R' 'simulate.R' 'anova.R' 'contrast.R' 'tidiers.R' 'fitDatasets.R' 'processFit.R' 'processFile.R' 'simulationStudies.R' 'asymptoticEfficiency.R' 'emmeans.R' 'options.R' LinkingTo: Rcpp, robustbase, Matrix Encoding: UTF-8 Language: en-US RcppModules: psi_function_module Config/build/clean-inst-doc: false Config/roxygen2/version: 8.0.0 NeedsCompilation: yes Packaged: 2026-10-26 01:28:05 UTC; root Repository: https://cran.r-universe.dev Date/Publication: 2026-10-25 19:50:02 UTC RemoteUrl: https://github.com/cran/robustlmm RemoteRef: HEAD RemoteSha: eb6f5ee70bcae0cc4ea1e6f8e50d3311773727e9