# Robust Linear Mixed Effects Models

## Documentation for package ‘robustlmm’ version 3.5.0-2

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

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

## -- A --

anova.rlmerMod | Analysis of variance for an rlmer fit.
asymptoticEfficiency | Compute Asymptotic Efficiencies
asymptoticVariance | Compute Asymptotic Efficiencies

## -- B --

bindDatasets | Bind Generated Datasets
bisquarePsi | Default Tukey bisquare psi-function with 'c = 4.685'.

## -- C --

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 | Cook's-distance equivalent for an rlmerMod fit (per observation or per cluster).
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

## -- D --

deviance.rlmerMod | rlmerMod Class

## -- E --

extractAIC.rlmerMod | rlmerMod Class
extractPredefinedTuningParameter | Extract Tuning Parameters Used In Fitting
extractTuningParameter | Extract Tuning Parameters Used In Fitting

## -- F --

family.rlmerMod | rlmerMod Class
findTuningParameter | Compute Asymptotic Efficiencies
fitDatasets | Fitting Functions
fitDatasets_heavyLme | Fitting Functions
fitDatasets_lmer | Fitting Functions
fitDatasets_lmer_bobyqa | Fitting Functions
fitDatasets_lmer_Nelder_Mead | Fitting Functions
fitDatasets_lqmm | Fitting Functions
fitDatasets_rlme | Fitting Functions
fitDatasets_rlmer | Fitting Functions
fitDatasets_rlmer_ar1 | Fitting Functions
fitDatasets_rlmer_cs | Fitting Functions
fitDatasets_rlmer_DAStau | Fitting Functions
fitDatasets_rlmer_DAStau_bisq | Fitting Functions
fitDatasets_rlmer_DAStau_k_0_5 | Fitting Functions
fitDatasets_rlmer_DAStau_k_0_5_noAdj | Fitting Functions
fitDatasets_rlmer_DAStau_k_2 | Fitting Functions
fitDatasets_rlmer_DAStau_k_2_noAdj | Fitting Functions
fitDatasets_rlmer_DAStau_k_5 | Fitting Functions
fitDatasets_rlmer_DAStau_k_5_noAdj | Fitting Functions
fitDatasets_rlmer_DAStau_lmerNoFit | Fitting Functions
fitDatasets_rlmer_DAStau_noAdj | Fitting Functions
fitDatasets_rlmer_DAStau_sizeOBR | Fitting Functions
fitDatasets_rlmer_DASvar | Fitting Functions
fitDatasets_rlmer_ransac | Fitting Functions
fitDatasets_rlmer_ransac_bisq | Fitting Functions
fitDatasets_varComprob | Fitting Functions
fitDatasets_varComprob_compositeS | Fitting Functions
fitDatasets_varComprob_compositeS_2SGS | Fitting Functions
fitDatasets_varComprob_compositeS_OGK | Fitting Functions
fitDatasets_varComprob_compositeTau | Fitting Functions
fitDatasets_varComprob_compositeTau_2SGS | Fitting Functions
fitDatasets_varComprob_compositeTau_OGK | Fitting Functions
fitDatasets_varComprob_S | Fitting Functions
fitDatasets_varComprob_S_2SGS | Fitting Functions
fitDatasets_varComprob_S_OGK | Fitting Functions
fitted.rlmerMod | rlmerMod Class
fixef.rlmerMod | rlmerMod Class
formula.rlmerMod | rlmerMod Class

## -- G --

generateAnovaDatasets | Generate ANOVA type datasets
generateLongitudinalDatasets | Generate Longitudinal Datasets
generateMixedEffectDatasets | Generate Mixed Effects Datasets
generateRepeatedMeasuresDatasets | Generate Repeated-Measures Datasets With Structured Covariance
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

## -- H --

hatvalues.rlmerMod | Robust leverage (hat values) for an rlmerMod fit.
huberPsiRcpp | Classical, Huber and smoothed Huber psi- or rho-functions

## -- I --

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

## -- L --

lapplyDatasets | Lapply for generated datasets
lmerNoFit | Robust Scoring Equations Estimator for Linear Mixed Models
loadAndMergePartialResults | Load And Merge Partial Results
logLik.rlmerMod | rlmerMod Class
lqqPsi | Default lqq (linear-quadratic-quadratic) redescending psi-function.

## -- M --

makeBisquarePsi | Bisquare (Tukey biweight) psi function
makeRobustbasePsi | Redescending psi-functions from robustbase (bisquare, lqq, optimal, hampel, ggw)
mergeProcessedFits | Merge Processed Fits
model.frame.rlmerMod | rlmerMod Class
model.matrix.rlmerMod | rlmerMod Class

## -- N --

nobs.rlmerMod | rlmerMod Class

## -- P --

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

## -- R --

ranef.rlmerMod | rlmerMod Class
ransac_basin_radius | Redescender basin (support-preservation) radius
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
robustlmm-options | Global options consulted by 'robustlmm'

## -- S --

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

## -- T --

terms.rlmerMod | rlmerMod Class
theta | Extract or Get Generalize Components from a Fitted Mixed Effects Model

## -- U --

update.rlmerMod | rlmerMod Class

## -- V --

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

## -- W --

weights.rlmerMod | rlmerMod Class

## -- X --

xtable.comparison.table | Create comparison charts for multiple fits