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January 2014
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15,227 Reads
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7,952 Citations
Journal of Statistical Software
Description Fit linear and generalized linear mixed-effects models. The models and their components are represented using S4 classes and methods. The core computational algorithms are implemented using the 'Eigen' C++ library for numerical linear algebra and 'RcppEigen' ``glue''.
January 2014
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3,111 Reads
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1,791 Citations
January 2014
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1,566 Reads
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7,995 Citations
Journal of Statistical Software
... RTs were analyzed by means of a repeated measure linear mixed-effects model using the lme4-package in R (Bates et al., 2015). The model included the fixed effect predictors stimulation (left, right, sham), operation (addition, subtraction), step size (single, multi), and all interactions of these three predictors. ...
January 2014
Journal of Statistical Software
... In addition, a generalized linear mixed effects model (GLMM) (Bates et al., 2014) was run to investigate the effect of rhythmic priming and grammaticality on response accuracy (binomial data, 0 for incorrect response and 1 for correct response), using the lme4 package (version 1.1-35.3) in RStudio software (version 2022.12.0+353). Prime type (regular, irregular) and ...
January 2014
... Next, to examine the contributions of age of immigration and exposure duration together, we conducted a multilevel analysis, using the R packages lme4 and lmerTest (Bates et al., 2014;Kuznetsova et al., 2017). The model included fixed effects for age of immigration, exposure duration, reported reading in Hebrew, and the picture naming score in Hebrew. ...
January 2014
Journal of Statistical Software
