Introduction | Inference for the fixed effects | Influence diagnostics | A high-breakdown initial estimator: RANSAC | Robustness in the design space | A robust sensitivity analysis for an MMRM | Summary
This package is considered a duplicate. The official version of this package is found at:https://kollerma.r-universe.dev/robustlmm
Package: robustlmm 3.5.1-1
Manuel Koller
robustlmm: Robust Linear Mixed Effects Models
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.
Authors:
robustlmm_3.5.1-1.tar.gz
robustlmm_3.5.1-1.zip(r-4.7-x86_64)robustlmm_3.5.1-1.zip(r-4.7-arm64)robustlmm_3.5.1-1.zip(r-4.6-x86_64)robustlmm_3.5.1-1.zip(r-4.6-arm64)
robustlmm_3.5.1-1.tar.gz(r-4.7-arm64)robustlmm_3.5.1-1.tar.gz(r-4.7-x86_64)robustlmm_3.5.1-1.tar.gz(r-4.6-arm64)robustlmm_3.5.1-1.tar.gz(r-4.6-x86_64)
robustlmm_3.5.1-1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
robustlmm/json (API)
| # Install 'robustlmm' in R: |
| install.packages('robustlmm', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/kollerma/robustlmm/issues
Last updated from:eb6f5ee70b. Checks:10 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 208 | ||
| linux-devel-x86_64 | OK | 250 | ||
| source / vignettes | OK | 263 | ||
| linux-release-arm64 | OK | 210 | ||
| linux-release-x86_64 | OK | 241 | ||
| windows-devel-arm64 | OK | 331 | ||
| windows-devel-x86_64 | OK | 266 | ||
| windows-release-arm64 | OK | 321 | ||
| windows-release-x86_64 | OK | 215 | ||
| wasm-release | OK | 126 |
Exports:asymptoticEfficiencyasymptoticVariancebindDatasetsbisquarePsicaseweightIFchgDefaultscomparecontrast_testcPsicreateDatasetsFromListcreateRhoFunctiondesign_breakdownextractPredefinedTuningParameterextractTuningParameterfindTuningParameterfitDatasets_heavyLmefitDatasets_lmerfitDatasets_lmer_bobyqafitDatasets_lmer_Nelder_MeadfitDatasets_lqmmfitDatasets_rlmefitDatasets_rlmerfitDatasets_rlmer_ar1fitDatasets_rlmer_csfitDatasets_rlmer_DAStaufitDatasets_rlmer_DAStau_bisqfitDatasets_rlmer_DAStau_k_0_5fitDatasets_rlmer_DAStau_k_0_5_noAdjfitDatasets_rlmer_DAStau_k_2fitDatasets_rlmer_DAStau_k_2_noAdjfitDatasets_rlmer_DAStau_k_5fitDatasets_rlmer_DAStau_k_5_noAdjfitDatasets_rlmer_DAStau_lmerNoFitfitDatasets_rlmer_DAStau_noAdjfitDatasets_rlmer_DAStau_sizeOBRfitDatasets_rlmer_DASvarfitDatasets_rlmer_ransacfitDatasets_rlmer_ransac_bisqfitDatasets_varComprobfitDatasets_varComprob_compositeSfitDatasets_varComprob_compositeS_2SGSfitDatasets_varComprob_compositeS_OGKfitDatasets_varComprob_compositeTaufitDatasets_varComprob_compositeTau_2SGSfitDatasets_varComprob_compositeTau_OGKfitDatasets_varComprob_SfitDatasets_varComprob_S_2SGSfitDatasets_varComprob_S_OGKfragilitygenerateAnovaDatasetsgenerateLongitudinalDatasetsgenerateMixedEffectDatasetsgenerateRepeatedMeasuresDatasetsgenerateSensitivityCurveDatasetsgetInfogetMEhuberPsiRcppimplicitIF_fulllapplyDatasetslmerNoFitloadAndMergePartialResultslqqPsimakeBisquarePsimakeRobustbasePsimakeSScalePsimergeProcessedFitspartialMoment_standardNormalplotplot.rlmerModplotLongitudinalBySubjectprepareMixedEffectDatasetprocessDatasetsInParallelprocessFileprocessFitpsi2propIIransac_basin_radiusransac_lme4rlmerrlmer_ransacrlmerControlsaveDatasetsshortenLabelsKS2022showsmoothPsisplitDatasetssScalePsithetavcov_sandwichviewCopyOfSimulationStudy
Dependencies:bootDEoptimRfastGHQuadlatticelme4MASSMatrixminqanlmenloptrnumDerivrbibutilsRcppRcppEigenRdpackreformulasrlangrobustbasextable
New features in robustlmm 3.5.0: robust inference, diagnostics and structured covariances
Last update: 2026-10-25
Started: 2026-07-10
Replication Code For Simulation Studies
Introduction | The code | General structure of code for each presented study | List of Functions From Other Packages | Sensitivity Curves | Consistency and Efficiency | Breakdown | Monte-Carlo Breakdown Sweep | Convergence | Robustness and Empirical Test Coverage | Studies new in the 3.5.0 release | Studies for the small-sample and variance-component methods | Studies for the high-breakdown configuration | Session Info
Last update: 2026-10-25
Started: 2026-10-25
robustlmm: An R Package for Robust Estimation of Linear Mixed-Effects Models
Introduction | Background | Implementation | Usage | Further information | The smoothed Huber function and tables of tuning constants | Robust estimating equations | Estimation algorithm | Methodology added in version 3.5.0
Last update: 2026-10-25
Started: 2013-03-08
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Robust linear mixed effects models | robustlmm-package robustlmm |
| Analysis of variance for an rlmer fit. | anova.rlmerMod |
| Compute Asymptotic Efficiencies | asymptoticEfficiency asymptoticVariance findTuningParameter |
| Bind Generated Datasets | bindDatasets |
| Default Tukey bisquare psi-function with 'c = 4.685'. | bisquarePsi |
| Case-weight (Hampel) influence function of the fixed effects of a fitted 'rlmerMod' object. | caseweightIF |
| Change default arguments | chgDefaults chgDefaults,psi_func_rcpp-method |
| Create comparison charts for multiple fits | compare getInfo getInfo.lmerMod getInfo.rlmerMod print.xtable.comparison.table xtable.comparison.table |
| Confidence intervals for the fixed-effect coefficients of an rlmer fit. | confint.rlmerMod |
| Wald test of linear contrasts of the fixed effects | contrast_test |
| Cook's-distance equivalent for an rlmerMod fit (per observation or per cluster). | cooks.distance.rlmerMod |
| Create Dataset List From List of Data Objects | createDatasetsFromList |
| Create Rho-Functions With Custom Tuning Parameter | createRhoFunction |
| Breakdown ceiling of the fixed-effects design | design_breakdown |
| Extract Tuning Parameters Used In Fitting | extractPredefinedTuningParameter extractTuningParameter |
| Fitting Functions | fitDatasets fitDatasets_heavyLme fitDatasets_lmer fitDatasets_lmer_bobyqa fitDatasets_lmer_Nelder_Mead fitDatasets_lqmm fitDatasets_rlme fitDatasets_rlmer fitDatasets_rlmer_ar1 fitDatasets_rlmer_cs fitDatasets_rlmer_DAStau fitDatasets_rlmer_DAStau_bisq fitDatasets_rlmer_DAStau_k_0_5 fitDatasets_rlmer_DAStau_k_0_5_noAdj fitDatasets_rlmer_DAStau_k_2 fitDatasets_rlmer_DAStau_k_2_noAdj fitDatasets_rlmer_DAStau_k_5 fitDatasets_rlmer_DAStau_k_5_noAdj fitDatasets_rlmer_DAStau_lmerNoFit fitDatasets_rlmer_DAStau_noAdj fitDatasets_rlmer_DAStau_sizeOBR fitDatasets_rlmer_DASvar fitDatasets_rlmer_ransac fitDatasets_rlmer_ransac_bisq fitDatasets_varComprob fitDatasets_varComprob_compositeS fitDatasets_varComprob_compositeS_2SGS fitDatasets_varComprob_compositeS_OGK fitDatasets_varComprob_compositeTau fitDatasets_varComprob_compositeTau_2SGS fitDatasets_varComprob_compositeTau_OGK fitDatasets_varComprob_S fitDatasets_varComprob_S_2SGS fitDatasets_varComprob_S_OGK |
| Fragility of variance parameters under contamination | fragility fragility.rlmerMod |
| Generate ANOVA type datasets | generateAnovaDatasets |
| Generate Longitudinal Datasets | generateLongitudinalDatasets |
| Generate Mixed Effects Datasets | generateMixedEffectDatasets |
| Generate Repeated-Measures Datasets With Structured Covariance | generateRepeatedMeasuresDatasets |
| Generate Datasets To Create Sensitivity Curves | generateSensitivityCurveDatasets |
| Extract or Get Generalize Components from a Fitted Mixed Effects Model | getME getME.rlmerMod theta |
| Robust leverage (hat values) for an rlmerMod fit. | hatvalues.rlmerMod |
| Full implicit influence function (beta, u, sigma, theta) for a fitted 'rlmerMod' object. | implicitIF_full |
| Per-observation influence on (\hat{beta}, \hat{sigma}, \hat{theta}) for an rlmerMod fit. | influence.rlmerMod |
| Lapply for generated datasets | lapplyDatasets |
| Load And Merge Partial Results | loadAndMergePartialResults |
| Default lqq (linear-quadratic-quadratic) redescending psi-function. | lqqPsi |
| Bisquare (Tukey biweight) psi function | makeBisquarePsi |
| Redescending psi-functions from robustbase (bisquare, lqq, optimal, hampel, ggw) | makeRobustbasePsi |
| S-type scale psi-function | makeSScalePsi |
| Merge Processed Fits | mergeProcessedFits |
| Other methods | show show,Rcpp_HuberPsi-method show,Rcpp_PsiFunction-method show,Rcpp_PsiFunctionToPropIIPsiFunctionWrapper-method show,Rcpp_SmoothPsi-method |
| Compute Partial Moments | partialMoment_standardNormal |
| Plot an Object of the "Psi Function" Class | plot,Rcpp_HuberPsi-method plot,Rcpp_PsiFunction-method plot,Rcpp_PsiFunctionToPropIIPsiFunctionWrapper-method plot,Rcpp_SmoothPsi-method plot-methods |
| Plot Method for "rlmerMod" objects. | plot.rlmerMod print.rlmerMod_plots |
| Plot longitudinal data with robustness-weight colored lines | plotLongitudinalBySubject |
| Predictions and confidence/prediction intervals for an rlmerMod fit. | predict.rlmerMod |
| Prepare Dataset for Parametric Bootstrap | prepareMixedEffectDataset |
| Process Datasets in Parallel | processDatasetsInParallel |
| Process File of Stored Datasets | processFile |
| Process Fitted Objects | processFit processFit.heavyLme processFit.lmerMod processFit.lqmm processFit.rlme processFit.rlmerMod processFit.varComprob |
| Classical, Huber and smoothed Huber psi- or rho-functions | cPsi huberPsiRcpp psi-functions PsiFunction SmoothPsi smoothPsi |
| Convert to Proposal 2 weight function | psi2propII psi2propII,psi_func_rcpp-method psi2propII,Rcpp_SmoothPsi |
| Redescender half-weight (basin) radius | ransac_basin_radius |
| RANSAC initial estimator for LMM | ransac_lme4 |
| Refit a robust linear mixed model to a new response | refit.rlmerMod |
| Get residuals | residuals.rlmerMod |
| Robust Scoring Equations Estimator for Linear Mixed Models | lmerNoFit rlmer |
| rlmer with RANSAC initial estimator | rlmer_ransac |
| Control of the robust linear mixed model fit | rlmerControl |
| rlmerMod Class | coef.rlmerMod deviance.rlmerMod extractAIC.rlmerMod family.rlmerMod fitted.rlmerMod fixef.rlmerMod formula.rlmerMod isGLMM.rlmerMod isLMM.rlmerMod isNLMM.rlmerMod isREML.rlmerMod logLik.rlmerMod model.frame.rlmerMod model.matrix.rlmerMod nobs.rlmerMod print.rlmerMod print.summary.rlmer print.VarCorr.rlmerMod ranef.rlmerMod resid.rlmerMod rlmerMod-class show,rlmerMod-method show.rlmerMod show.summary.rlmerMod sigma.rlmerMod summary.rlmerMod summary.summary.rlmerMod terms.rlmerMod update.rlmerMod VarCorr.rlmerMod VarCorr.summary.rlmerMod vcov.summary.rlmerMod weights.rlmerMod |
| Tidying methods for robust linear mixed models | augment.rlmerMod glance.rlmerMod rlmerMod-tidiers tidy.rlmerMod |
| Global options consulted by 'robustlmm' | robustlmm-options |
| Save datasets | saveDatasets |
| Shorten Labels | shortenLabelsKS2022 |
| Simulate responses from a fitted robust linear mixed model | simulate.rlmerMod |
| Split Datasets Into Chunks | splitDatasets |
| Default S-type scale psi-function | sScalePsi |
| Robust cluster-sandwich covariance of the fixed effects of a fitted 'rlmerMod' object. | vcov_sandwich |
| Variance-covariance matrix of the fixed effects of an rlmerMod fit. | vcov.rlmerMod |
| Access Simulation Study Code | viewCopyOfSimulationStudy |