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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.

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Help with Linear Mixed Model creation and correct post-hoc in R

I have a table with 10 columns; Day Subject Treatment_1 - Treatment_8 I wanted to run a 2 factor repeated measures ANOVA but I have quite a few missing values so from what I read a LMM is the best …
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How to construct a Linear mixed model for repeated measures with Missing Not At Random value...

Rdata file of dataset I have recorded the maximum angle of movement, in terms of degrees, of a mouse limb in response to varying durations of electric stimuli for a number of days before and after an …
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How to construct a Linear mixed model for repeated measures with Missing Not At Random value...

Ultimately I used glht from the multcomp library. results.data = lmer(One ~ Day + (1|Mouse), data = PeakAngle) summary(glht(results.data, linfct=mcp(Day="Tukey")), test=adjusted("bonferroni")) mcp(D …
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