R: Tools for Detecting Influential Data in Mixed Effects Models

# Tools for Detecting Influential Data in Mixed Effects Models

## Documentation for package ‘influence.ME’ version 0.9-10

- DESCRIPTION file

## Help Pages

influence.ME-package | Influence.ME: Tools for detecting influential data in mixed effects models
cooks.distance | Compute the Cook's distance measure of influential data on mixed effects models
cooks.distance.estex | Compute the Cook's distance measure of influential data on mixed effects models
dfbetas | Compute the DFBETAS measure of influential data
dfbetas.estex | Compute the DFBETAS measure of influential data
exclude.influence | Exclude the influence of a grouped set of observations in mixed effects models.
grouping.levels | Returns the levels of a grouping factor in a mixed effects regression model
influence | influence returns mixed model estimates, iteratively excluding the influence of data nested within single grouping factors.
influence.ME | Influence.ME: Tools for detecting influential data in mixed effects models
influence.mer | influence returns mixed model estimates, iteratively excluding the influence of data nested within single grouping factors.
pchange | Compute the percentage change, as measure of influential data
plot | Dotplot visualization of measures of influence
plot.estex | Dotplot visualization of measures of influence
school23 | Math test performance in 23 schools
se.fixef | Standard errors of fixed estimates
sigtest | Test for changes in the level of statistical significance resulting from the deletion of potentially influential observations