BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//MindCORE//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
UID:7880-0
SUMMARY:Workshop: Introduction to mixed-effects models in Julia
DTSTART:20231201T201500Z
DTEND:20231201T213000Z
DTSTAMP:20230928T174125Z
LAST-MODIFIED:20231201T144640Z
SEQUENCE:0
LOCATION:111 Levin Building
DESCRIPTION:Mixed-effects regression models have been a popular choice of statistical analysis in experimental psychology and linguistics research. While they’ve historically been developed and taught in R (namely\, via the lme4 package)\, a newer implementation in the Julia programming language called MixedModels.jl has emerged and matured as a successor. The MixedModels.jl Julia library preserves much of the familiar interface from lme4\, while offering many advancements in the complexity and speed of fitting mixed-effects models.\n\n \n\nThis workshop is a gentle\, practical introduction to mixed-effects models with Julia that is low code and requires little set up. Emphasis is on using MixedModels.jl as a drop-in replacement for lme4 while minimizing friction with existing R-centered data analysis workflows. Participants should be familiar with R and Rstudio and have prior experience with using (mixed effects) regression models.
END:VEVENT
END:VCALENDAR