Influence.ME now supports sampling weights
[This article was first published on Curving Normality » R-Project, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
Influence.ME is an R package that helps detecting influential cases in multilevel regression models. It has been around for a while now, and recent changes in lme4 broke the functionality of using influence.ME with sampling weights.
Thanks to a kind contribution of some code by user Jennifer Bufford, influence.ME now should work with multilevel models with sampling weights (and offsets). Version 0.9-5 is now available on CRAN servers around the world.
For more details on influence.ME, see: http://www.rensenieuwenhuis.nl/r-project/influenceme/
To leave a comment for the author, please follow the link and comment on their blog: Curving Normality » R-Project.
R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.