Package: faoutlier 0.7.7
faoutlier: Influential Case Detection Methods for Factor Analysis and Structural Equation Models
Tools for detecting and summarize influential cases that can affect exploratory and confirmatory factor analysis models as well as structural equation models more generally (Chalmers, 2015, <doi:10.1177/0146621615597894>; Flora, D. B., LaBrish, C. & Chalmers, R. P., 2012, <doi:10.3389/fpsyg.2012.00055>).
Authors:
faoutlier_0.7.7.tar.gz
faoutlier_0.7.7.zip(r-4.5)faoutlier_0.7.7.zip(r-4.4)faoutlier_0.7.7.zip(r-4.3)
faoutlier_0.7.7.tgz(r-4.5-any)faoutlier_0.7.7.tgz(r-4.4-any)faoutlier_0.7.7.tgz(r-4.3-any)
faoutlier_0.7.7.tar.gz(r-4.5-noble)faoutlier_0.7.7.tar.gz(r-4.4-noble)
faoutlier_0.7.7.tgz(r-4.4-emscripten)faoutlier_0.7.7.tgz(r-4.3-emscripten)
faoutlier.pdf |faoutlier.html✨
faoutlier/json (API)
| # Install 'faoutlier' in R: |
| install.packages('faoutlier', repos = c('https://philchalmers.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/philchalmers/faoutlier/issues
- holzinger - Description of holzinger data
- holzinger.outlier - Description of holzinger data with 1 outlier
Last updated 2 years agofrom:8b1dfc0ddc. Checks:6 OK, 3 NOTE. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 11 2025 |
| R-4.5-win | NOTE | Mar 11 2025 |
| R-4.5-mac | NOTE | Mar 11 2025 |
| R-4.5-linux | NOTE | Mar 11 2025 |
| R-4.4-win | OK | Mar 11 2025 |
| R-4.4-mac | OK | Mar 11 2025 |
| R-4.4-linux | OK | Mar 11 2025 |
| R-4.3-win | OK | Mar 11 2025 |
| R-4.3-mac | OK | Mar 11 2025 |
Exports:forward.searchgCDGOFLDobs.residrobustMDsetCluster
Dependencies:abindarmaudiobeeprbootbriocallrcliclustercodacodetoolscrayondcurverDerivdescdiffobjdigestdplyrevaluatefansifsfuturefuture.applygenericsglobalsglueGPArotationgridExtragtablejsonlitelatticelavaanlifecyclelistenvlme4magrittrMASSMatrixmgcvmiminqamirtmnormtmvtnormnlmenloptrnumDerivparallellypbapplypbivnormpermutepillarpkgbuildpkgconfigpkgloadpraiseprocessxprogressrpsquadprogR.methodsS3R.ooR.utilsR6rbibutilsRcppRcppArmadilloRcppEigenRdpackreformulasrlangrprojrootsemsessioninfoSimDesigntestthattibbletidyselectutf8vctrsveganwaldowithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Influential case detection methods for FA and SEM | faoutlier-package faoutlier |
| Forward search algorithm for outlier detection | forward.search plot.forward.search print.forward.search |
| Generalized Cook's Distance | gCD plot.gCD print.gCD |
| Goodness of Fit Distance | GOF plot.GOF print.GOF |
| Description of holzinger data | holzinger |
| Description of holzinger data with 1 outlier | holzinger.outlier |
| Likelihood Distance | LD plot.LD print.LD |
| Model predicted residual outliers | obs.resid plot.obs.resid print.obs.resid |
| Robust Mahalanobis | plot.robmah print.robmah robustMD |
| Define a parallel cluster object to be used in internal functions | setCluster |
