## Recently Published

##### Hierarchical Random-Effect Structures in Linear Mixed Models

This RPub is a follow-up to an RPub on factor contrasts and factor levels in linear mixed models (http://www.rpubs.com/Reinhold/391027). I describe ten LMMs and four hierarchical model sequences built from them.

##### Reduction of Complexity of Linear Mixed Models with Double-Bar Syntax (Version 2)

Added correction of http://www.rpubs.com/Reinhold/22193 about invalid model comparison.

##### Factor contrasts and factor levels in linear mixed models

Follow-up to http://www.rpubs.com/Reinhold/22193

##### Reduction of Complexity of Linear Mixed Models with Double-Bar Syntax

Linear mixed models are frequently overparameterized. A primary source of this problem are correlation parameters. Often these correlation parameters do not contribute to goodness of model fit (i.e., there is not enough evidence that they differ significantly from zero). The new double-bar syntax allows a convenient specification of zero-correlation-parameter linear mixed models in lmer().

##### Linear Mixed Models: Eye Movements During Reading of Uighur

Paper: Yan, M., Zhou, W., Shu, H., Yusupu, R., Miao, D., Kruegel, A., & Kliegl, R. (2014). Eye Movements Guided by Morphological Structure: Evidence from the uighur Language. Cognition, 132 (2), 181-215. URL: http://www.sciencedirect.com/science/article/pii/S001002771400047X
Script is based on uighur_package.v2.R (available on Potsdam Mind Research Repository, also a preprint of the paper); see this script for details about computation of various derived variables (e.g., centering for LMMs, grouping for figures)