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faoutlier

Tools for detecting and summarize influential cases that can affect exploratory and confirmatory factor analysis models as well as structural equation models more generally.

Installing from Github

To install the development version of this package, use the following code.

#if not installed already on your computer, install devtools
install.packages('devtools')

#load and install the package
library(devtools)
install_github('philchalmers/faoutlier')

#reload into you workspace
library(faoutlier)

If you run into any issues or have any suggestions then feel free to contact me or open a Github issue for this repository. Cheers.

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Install

install.packages('faoutlier')

Monthly Downloads

423

Version

0.7.6

License

GPL (>= 2)

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Maintainer

Last Published

January 10th, 2021

Functions in faoutlier (0.7.6)

holzinger.outlier

Description of holzinger data with 1 outlier
LD

Likelihood Distance
faoutlier

Influential case detection methods for FA and SEM
holzinger

Description of holzinger data
gCD

Generalized Cook's Distance
robustMD

Robust Mahalanobis
obs.resid

Model predicted residual outliers
GOF

Goodness of Fit Distance
setCluster

Define a parallel cluster object to be used in internal functions
forward.search

Forward search algorithm for outlier detection