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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

Taksonomisk metoderegister · regression-model / statistics

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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.