Package: influence.ME 0.9-9
influence.ME: Tools for Detecting Influential Data in Mixed Effects Models
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.
Authors:
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influence.ME.pdf |influence.ME.html✨
influence.ME/json (API)
| # Install 'influence.ME' in R: |
| install.packages('influence.ME', repos = c('https://rensenieuwenhuis.r-universe.dev', 'https://cloud.r-project.org')) |
- school23 - Math test performance in 23 schools
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 7 years agofrom:691228cc4f. Checks:OK: 1 NOTE: 6. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 14 2024 |
| R-4.5-win | NOTE | Oct 14 2024 |
| R-4.5-linux | NOTE | Oct 14 2024 |
| R-4.4-win | NOTE | Oct 14 2024 |
| R-4.4-mac | NOTE | Oct 14 2024 |
| R-4.3-win | NOTE | Oct 14 2024 |
| R-4.3-mac | NOTE | Oct 14 2024 |
Exports:cooks.distance.estexdfbetas.estexexclude.influencegrouping.levelsinfluencepchangeplot.estexse.fixefsigtest
Dependencies:bootlatticelme4MASSMatrixminqanlmenloptrRcppRcppEigen
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Influence.ME: Tools for detecting influential data in mixed effects models | influence.ME-package influence.ME |
| Compute the Cook's distance measure of influential data on mixed effects models | cooks.distance cooks.distance.estex |
| Compute the DFBETAS measure of influential data | dfbetas dfbetas.estex |
| Exclude the influence of a grouped set of observations in mixed effects models. | exclude.influence |
| Returns the levels of a grouping factor in a mixed effects regression model | grouping.levels |
| influence returns mixed model estimates, iteratively excluding the influence of data nested within single grouping factors. | influence influence.mer |
| Compute the percentage change, as measure of influential data | pchange |
| Dotplot visualization of measures of influence | plot plot.estex |
| Math test performance in 23 schools | school23 |
| Standard errors of fixed estimates | se.fixef |
| Test for changes in the level of statistical significance resulting from the deletion of potentially influential observations | sigtest |
