R: Influential Case Detection Methods for Factor Analysis and Structural Equation Models

# Influential Case Detection Methods for Factor Analysis and Structural Equation Models

## Documentation for package ‘faoutlier’ version 0.7.7

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

faoutlier-package | Influential case detection methods for FA and SEM
faoutlier | Influential case detection methods for FA and SEM
forward.search | Forward search algorithm for outlier detection
gCD | Generalized Cook's Distance
GOF | Goodness of Fit Distance
holzinger | Description of holzinger data
holzinger.outlier | Description of holzinger data with 1 outlier
LD | Likelihood Distance
obs.resid | Model predicted residual outliers
plot.forward.search | Forward search algorithm for outlier detection
plot.gCD | Generalized Cook's Distance
plot.GOF | Goodness of Fit Distance
plot.LD | Likelihood Distance
plot.obs.resid | Model predicted residual outliers
plot.robmah | Robust Mahalanobis
print.forward.search | Forward search algorithm for outlier detection
print.gCD | Generalized Cook's Distance
print.GOF | Goodness of Fit Distance
print.LD | Likelihood Distance
print.obs.resid | Model predicted residual outliers
print.robmah | Robust Mahalanobis
robustMD | Robust Mahalanobis
setCluster | Define a parallel cluster object to be used in internal functions