#statstab#rstats#r#lmer#mixedeffectsm-clark.github.io/mixed-models...
This is an introduction to using mixed models in R. It covers the most common techniques employed, with demonstration primarily via the lme4 package. Discussion includes extensions into generalized mi...
#statstab#r#MLM#mixedeffects#rstats#statsstats.stackexchange.com/questions/37...
I'm using a mixed model in R (lme4) to analyze some repeated measures data. I have a response variable (fiber content of feces) and 3 fixed effects (body mass, etc.). My study only has 6 participan...
🚨New paper: A Tutorial for Deception Detection Analysis or: How I Learned to Stop Aggregating Veracity Judgments and Embraced Signal Detection Theory Mixed Models w/ @matti.vuorre.com#deception#SDT#mixedeffects#brms#rstatslink.springer.com/article/10.1...
Historically, deception detection research has relied on factorial analyses of response accuracy to make inferences. However, this practice overlooks important sources of variability resulting in pote...