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influence.ME  

Tools for Detecting Influential Data in Mixed Effects Models
View on CRAN: Click here


Download and install influence.ME package within the R console
Install from CRAN:
install.packages("influence.ME")

Install from Github:
library("remotes")
install_github("cran/influence.ME")

Install by package version:
library("remotes")
install_version("influence.ME", "0.9-9")



Attach the package and use:
library("influence.ME")
Maintained by
Rense Nieuwenhuis
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2009-04-15
Latest Update: 2017-06-07
Description:
Provides a collection of tools for detecting influential cases in generalized mixed effects models. It analyses models that were estimated using 'lme4'. The basic rationale behind identifying influential data is that when 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 a (single group of) observation(s) is, several measures of influence are common practice, such as Cook's Distance. In addition, we provide a measure of percentage change of the fixed point estimates and a simple procedure to detect changing levels of significance.
How to cite:
Rense Nieuwenhuis (2009). influence.ME: Tools for Detecting Influential Data in Mixed Effects Models. R package version 0.9-9, https://cran.r-project.org/web/packages/influence.ME
Previous versions and publish date:
0.5 (2009-04-15 09:34), 0.6.1 (2009-04-27 13:59), 0.6 (2009-04-26 17:27), 0.7 (2009-07-18 18:11), 0.8.1 (2011-11-20 11:03), 0.8 (2011-05-13 16:42), 0.9-3 (2013-09-25 20:48), 0.9-4 (2014-03-17 09:27), 0.9-5 (2014-12-17 16:34), 0.9-6 (2015-07-24 07:53), 0.9-7 (2016-08-17 12:30), 0.9-8 (2016-10-31 10:07), 0.9.1 (2012-12-24 12:02), 0.9.2 (2013-01-15 13:48), 0.9 (2012-07-12 16:37)
Other packages that cited influence.ME R package
View influence.ME citation profile
Other R packages that influence.ME depends, imports, suggests or enhances
Functions, R codes and Examples using the influence.ME R package
Some associated functions: cooks.distance.estex . dfbetas.estex . exclude.influence . grouping.levels . influence.ME-package . influence.mer . pchange . plot.estex . school23 . se.fixef . sigtest . 
Some associated R codes: exclude.influence.R . grouping.levels.R . influence.R . pchange.R . plot.estex.R . se.fixef.R . sigtest.R .  Full influence.ME package functions and examples
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Maintainer: Li Yan (view profile)

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