Model Comparisons for SEM

Documentation for package ‘SEMModComp’ version 1.0

SEMModComp-package	Conduct tests of difference in fit for mean and covariance structure models as in structural equation modeling (SEM)
ChiSquaredLRTest	Conduct Chi-Squared Likelihood Ratio Test for Mean and Covariance Structure Models
cigandalc.dat	Raw data on cigarette and alcohol use
model.A.cov.matrix	Model A's model-implied covariance matrix
model.A.df	Model A's degrees of freedom
model.A.mean.vector	Model A's model-implied mean vector
model.B.cov.matrix	Model B's model-implied covariance matrix
model.B.df	Model B's degrees of freedom
model.B.mean.vector	Model B's model-implied mean vector
model.C.cov.matrix	Model C's model-implied covariance matrix
model.C.df	Model C's degrees of freedom
model.C.mean.vector	Model C's model-implied mean vector
NormalTheoryLRTest	Conduct Normal Theory Likelihood Ratio Test for Mean and Covariance Structure Models
ReadSymMatrixFromTriangle	Read in a symmetric matrix from a data file containing the triangle of the matrix and the main diagonal
SEMModComp	Conduct tests of difference in fit for mean and covariance structure models as in structural equation modeling (SEM)