Covers the basics of mixed models, mostly using @lme4
Switch branches/tags
Nothing to show
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
css
data
docs
exercises
growth content complete Nov 26, 2018
img
lm_review
mem_workshop
scripts
.gitattributes
.gitignore
.nojekyll
DataStories.pdf
README.md
_bookdown.yml
_build.sh
_deploy.sh
_output.yml
appendix.Rmd
extensions.Rmd
further.Rmd
index.Rmd
introduction.Rmd
issues.Rmd
mem_workshop.zip
mixed-models-with-R.Rproj
outline.md
random_intercepts.Rmd
random_slopes.Rmd
refs.bib
summary.Rmd
supplemental.Rmd
topics.md

README.md

mixed-models-with-R

Workshop initially given Summer 2017, this covers the basics of mixed models, using lme4 as much as possible. Topics include random intercept and slope models, discussion of crossed vs. nested random effects, some common extensions (e.g. generalized linear mixed models), and other models that deal with dependency in the data.

Link to doc.