influence.ME is an R package providing statistical tools for determining influential data in mixed models. The basic rationale behind identifying influential data is that when iteratively single units are omitted from the data, models based on these data should not produce substantially different estimates. To standardize the assessment of how influential data is, several measures of influence are commonly used, such as DFBETAS and Cook’s Distance.
Influence.ME is available from within the R software, which is freely to download and use.
This is a fixed page on influence.ME. Several resources are available from here. Announcements will be made on my blog, but all important information will be accessible from this page.