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Robust Mixed Model/Evidence
Method evidence record

Robust Mixed Model

The robust mixed model is a linear mixed-effects model for panel and repeated-measures data that tolerates outliers and heavy-tailed errors. It replaces the usual likelihood with bounded-influence estimating equations, building on the robust restricted maximum likelihood of Richardson and Welsh (1995) and the robustlmm implementation of Koller (2016).

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Robust Linear Mixed-Effects Model
Taxonomic method record · regression-model / statistics
  • Koller, M. (2016). robustlmm: An R Package for Robust Estimation of Linear Mixed-Effects Models. Journal of Statistical Software, 75(6), 1-24. · DOI 10.18637/jss.v075.i06
  • Richardson, A. M. & Welsh, A. H. (1995). Robust Restricted Maximum Likelihood in Mixed Linear Models. Biometrics, 51(4), 1429-1439. · DOI 10.2307/2533273
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Related methods

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Same method familyHeteroscedasticity-Robust Standard Errorsmachine-suggested · Relational suggestion, not evidence.Same method familyOLS Regressionmachine-suggested · Relational suggestion, not evidence.Same method familyPanel Fixed Effectsmachine-suggested · Relational suggestion, not evidence.Same method familyPermutation Testmachine-suggested · Relational suggestion, not evidence.Same method familyRobust Regressionmachine-suggested · Relational suggestion, not evidence.

Evidence status

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Sources

2 recorded citations, copied from the method source record.

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