afex – Analysis of Factorial EXperiments

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Evaluating significance in linear mixed-effects models in R (2016, methodology): “Both lmerTest (Kuznetsova et al., 2014) and afex (Singmann et al., 2015) have an anova function which can be used to provide p -values for each factor, calculated from the F statistic.”
The impact of soil salinity on the yield, composition and physiology of the bioenergy grass Miscanthus × giganteus (2017, methodology): “The effects of salinity levels and time (days) on the morphological, physiological and biochemical parameters were assessed using one-way ANOVA (for salinity or time) and two-way ANOVA (for salinity, days and their interactions) with the ez and afex packages (Lawrence, 2015; Singmann et al., 2015).”
Advanced Bayesian Multilevel Modeling with the R Package brms (2017, background): “…|| operator in lme4 is that it only splits up terms so that columns of the design matrix originating from the same term are still modeled as correlated (e.g., when coding a categorical predictor; see the mixed function of the afex package by Singmann et al. (2015) for a way to avoid this behavior).”
An Introduction to Mixed Models for Experimental Psychology (2019, unknown): “Then, we will discuss how to estimate a mixed model using the lme4 (Bates, Mächler, et al., 2015) as well as the afex (Singmann et al., 2017) packages for the statistical programming language R (R Core Team, 2016).”