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lme4 and nlme are R packages used for fitting linear, generalized linear and nonlinear mixed effects models. For general questions about mixed models use [mixed-model] tag.

1
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The broom (broom.mixed) package allows you to automatically compute the subject-specific predictions with the augment function (fm_augmented <- broom.mixed::augment(fm).) Edit in function of your comm …
answered Jul 20 '21 by KrisBae
2
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I am modeling reaction times in a GLMM using the lme4 package. My data have the following structure: Subject ID Reaction times (RT) Distractor type (Type): (3 levels): moving - static - no distractor …
asked Apr 26 '21 by KrisBae
2
votes
Which averages are you comparing, exactly? More specifically, with which Reputation values? Assuming free viewing is the reference condition, I think the answer may be in the interaction term: for eac …
answered Jul 22 '21 by KrisBae