A B C D E F G H I L M N P R S T U V W X
| robustlmm-package | Robust linear mixed effects models |
| asymptoticEfficiency | Compute Asymptotic Efficiencies |
| asymptoticVariance | Compute Asymptotic Efficiencies |
| bindDatasets | Bind Generated Datasets |
| bisquarePsi | Default Tukey bisquare psi-function with 'c = 4.685'. |
| caseweightIF | Case-weight (Hampel) influence function of the fixed effects of a fitted 'rlmerMod' object. |
| chgDefaults | Change default arguments |
| chgDefaults-method | Change default arguments |
| coef.rlmerMod | rlmerMod Class |
| compare | Create comparison charts for multiple fits |
| confint.rlmerMod | Confidence intervals for the fixed-effect coefficients of an rlmer fit. |
| cooks.distance.rlmerMod | Per-observation Cook's-distance equivalent for an rlmerMod fit. |
| cPsi | Classical, Huber and smoothed Huber psi- or rho-functions |
| createDatasetsFromList | Create Dataset List From List of Data Objects |
| createRhoFunction | Create Rho-Functions With Custom Tuning Parameter |
| deviance.rlmerMod | rlmerMod Class |
| extractAIC.rlmerMod | rlmerMod Class |
| extractPredefinedTuningParameter | Extract Tuning Parameters Used In Fitting |
| extractTuningParameter | Extract Tuning Parameters Used In Fitting |
| generateAnovaDatasets | Generate ANOVA type datasets |
| generateLongitudinalDatasets | Generate Longitudinal Datasets |
| generateMixedEffectDatasets | Generate Mixed Effects Datasets |
| generateSensitivityCurveDatasets | Generate Datasets To Create Sensitivity Curves |
| getInfo | Create comparison charts for multiple fits |
| getInfo.lmerMod | Create comparison charts for multiple fits |
| getInfo.rlmerMod | Create comparison charts for multiple fits |
| getME | Extract or Get Generalize Components from a Fitted Mixed Effects Model |
| getME.rlmerMod | Extract or Get Generalize Components from a Fitted Mixed Effects Model |
| huberPsiRcpp | Classical, Huber and smoothed Huber psi- or rho-functions |
| implicitIF_full | Full implicit influence function (beta, u, sigma, theta) for a fitted 'rlmerMod' object. |
| influence.rlmerMod | Per-observation influence on (\hat{beta}, \hat{sigma}, \hat{theta}) for an rlmerMod fit. |
| isGLMM.rlmerMod | rlmerMod Class |
| isLMM.rlmerMod | rlmerMod Class |
| isNLMM.rlmerMod | rlmerMod Class |
| isREML.rlmerMod | rlmerMod Class |
| lapplyDatasets | Lapply for generated datasets |
| lmerNoFit | Robust Scoring Equations Estimator for Linear Mixed Models |
| loadAndMergePartialResults | Load And Merge Partial Results |
| logLik.rlmerMod | rlmerMod Class |
| makeBisquarePsi | Bisquare (Tukey biweight) psi function |
| mergeProcessedFits | Merge Processed Fits |
| model.frame.rlmerMod | rlmerMod Class |
| model.matrix.rlmerMod | rlmerMod Class |
| nobs.rlmerMod | rlmerMod Class |
| partialMoment_standardNormal | Compute Partial Moments |
| plot-method | Plot an Object of the "Psi Function" Class |
| plot-methods | Plot an Object of the "Psi Function" Class |
| plot.rlmerMod | Plot Method for "rlmerMod" objects. |
| plotLongitudinalBySubject | Plot longitudinal data with robustness-weight colored lines |
| predict.rlmerMod | Predictions and confidence/prediction intervals for an rlmerMod fit. |
| prepareMixedEffectDataset | Prepare Dataset for Parametric Bootstrap |
| print.rlmerMod | rlmerMod Class |
| print.rlmerMod_plots | Plot Method for "rlmerMod" objects. |
| print.summary.rlmer | rlmerMod Class |
| print.VarCorr.rlmerMod | rlmerMod Class |
| print.xtable.comparison.table | Create comparison charts for multiple fits |
| processDatasetsInParallel | Process Datasets in Parallel |
| processFile | Process File of Stored Datasets |
| processFit | Process Fitted Objects |
| processFit.heavyLme | Process Fitted Objects |
| processFit.lmerMod | Process Fitted Objects |
| processFit.lqmm | Process Fitted Objects |
| processFit.rlme | Process Fitted Objects |
| processFit.rlmerMod | Process Fitted Objects |
| processFit.varComprob | Process Fitted Objects |
| psi-functions | Classical, Huber and smoothed Huber psi- or rho-functions |
| psi2propII | Convert to Proposal 2 weight function |
| psi2propII,Rcpp_SmoothPsi | Convert to Proposal 2 weight function |
| psi2propII-method | Convert to Proposal 2 weight function |
| PsiFunction | Classical, Huber and smoothed Huber psi- or rho-functions |
| ranef.rlmerMod | rlmerMod Class |
| ransac_lme4 | RANSAC initial estimator for LMM |
| resid.rlmerMod | rlmerMod Class |
| residuals.rlmerMod | Get residuals |
| rlmer | Robust Scoring Equations Estimator for Linear Mixed Models |
| rlmerMod-class | rlmerMod Class |
| rlmer_ransac | rlmer with RANSAC initial estimator |
| robustlmm | Robust linear mixed effects models |
| saveDatasets | Save datasets |
| shortenLabelsKS2022 | Shorten Labels |
| show | Other methods |
| show-method | Other methods |
| show-method | rlmerMod Class |
| show.rlmerMod | rlmerMod Class |
| show.summary.rlmerMod | rlmerMod Class |
| sigma.rlmerMod | rlmerMod Class |
| SmoothPsi | Classical, Huber and smoothed Huber psi- or rho-functions |
| smoothPsi | Classical, Huber and smoothed Huber psi- or rho-functions |
| splitDatasets | Split Datasets Into Chunks |
| summary.rlmerMod | rlmerMod Class |
| summary.summary.rlmerMod | rlmerMod Class |
| terms.rlmerMod | rlmerMod Class |
| theta | Extract or Get Generalize Components from a Fitted Mixed Effects Model |
| update.rlmerMod | rlmerMod Class |
| VarCorr.rlmerMod | rlmerMod Class |
| VarCorr.summary.rlmerMod | rlmerMod Class |
| vcov.rlmerMod | Variance-covariance matrix of the fixed effects of an rlmerMod fit. |
| vcov.summary.rlmerMod | rlmerMod Class |
| vcov_sandwich | Robust cluster-sandwich covariance of the fixed effects of a fitted 'rlmerMod' object. |
| viewCopyOfSimulationStudy | Access Simulation Study Code |
| weights.rlmerMod | rlmerMod Class |
| xtable.comparison.table | Create comparison charts for multiple fits |