Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models

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Improving Inter-Laboratory Reproducibility in Measurement of Biochemical Methane Potential (BMP) (2020, methodology): “The lmer() function from the lme4 package in R was used for parameter estimation based on a restricted maximum likelihood algorithm [60,61].”
Do plants remember drought? : Hints towards a drought-memory in grasses (2011, unknown): “We examined the residuals against fitted plots and normal qq-plots prior to each analysis to test whether the assumptions for ANOVA, homogeneity of variances and normality, could be met (Faraway, 2006).”
Beyond gradual warming: extreme weather events alter flower phenology of European grassland and heath species (2009, methodology): “Both characteristics were tested by examining the residuals vs. fitted plots and the normal qq-plots of the Linear Models (Faraway, 2005).”
The problem of pseudoreplication in neuroscientific studies: is it affecting your analysis? (2010, background): “Faraway JJ: Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models Boca Raton, FL: Chapman & Hall/CRC Press 2006.”