Structural equation modeling diagnostics

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Documentation for package ‘semdiag’ version 0.1.2

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semdiag-package Structural equation modeling diagnostic
N100 Simulated data
N85 Simulated data
semdiag The 'semdiag' function
semdiag.call.eqs Run EQS from R
semdiag.combinations Enumerate the Combinations of the Elements of a Vector
semdiag.cpp Case profile plot
semdiag.DP Generate a duplication matrix
semdiag.eqs Orgnize results from EQS
semdiag.eqs.lisrel Format EQS output into LISREL format
semdiag.input.model Input model in R
semdiag.lisrel Generate the lisrel notation matrices based on an sem object.
semdiag.mdist.f Caculate the M-distance for factors and residuals
semdiag.mdist.f.r Caculate the M-distance for factors and residuals
semdiag.mdist.f1 Caculate the M-distance for factors and residuals
semdiag.mdist.f1.r Caculate the M-distance for factors and residuals
semdiag.mdist.r Caculate the M-distance for factors and residuals
semdiag.mdist.r.r Caculate the M-distance for factors and residuals
semdiag.mdist.r1 Caculate the M-distance for factors and residuals
semdiag.mdist.r1.r Caculate the M-distance for factors and residuals
semdiag.musig Robust covariance estimation
semdiag.orthog semdiag.orthog
semdiag.parse Parse EQS input file
semdiag.plot Plot the diagnostics graphs
semdiag.read.eqs Import of EQS outputs into R
semdiag.robfit Robust method for calculating d_r
semdiag.robfit.r Robust method for calculating d_r
semdiag.robfit1 Robust method for calculating d_r
semdiag.robfit1.r Robust method for calculating d_r
semdiag.run.eqs Run EQS from R
semdiag.start Generate the lisrel notation matrices based on an sem object.
semdiag.summary Plot the diagnostics graphs
semdiag.vech Stacking lower triange of a matrix to a vector
semdiag.write.eqs Generate an EQS input file