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.


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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.

News

Changes in version 0.7

  • added a progress argument to gCD(), LD(), and GOF() to print the progress of the iterations

Changes in version 0.5

  • several orgainizational overahauls

  • split LD() into LD() and GOF() for better clarity

  • avoid masking lavaan::sem with sem::sem

Changes in version 0.4

  • better use of the parallel package for faster computing in most functions (most notably in the forward.search implementation)

  • numerical tests added for better package stability

  • more flexible passing of lavaan-type models and other functions used within the package

Reference manual

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install.packages("faoutlier")

0.7.2 by Phil Chalmers, 2 years ago


https://github.com/philchalmers/faoutlier


Browse source code at https://github.com/cran/faoutlier


Authors: Phil Chalmers [aut, cre]


Documentation:   PDF Manual  


Task views: Psychometric Models and Methods


GPL (>= 2) license


Imports methods, lattice, lavaan, mirt, MASS, pbapply

Depends on sem, mvtnorm, parallel


See at CRAN