imxPPML.Test.Battery {OpenMx} | R Documentation |
PPML can be applied to a number of special cases. This function will test the given model for all of these special cases.
imxPPML.Test.Battery(model, verbose = FALSE, testMissingness = TRUE, testPermutations = TRUE, testEstimates = TRUE, testFakeLatents = TRUE, tolerances = c(0.001, 0.001, 0.001))
model |
the model to test |
verbose |
whether to print diagnostics |
testMissingness |
try with missingness |
testPermutations |
try with permutations |
testEstimates |
examine estimates |
testFakeLatents |
try with fake latents |
tolerances |
a vector of tolerances |
Requirements for model passed to this function: - Path-specified - Means vector must be present - Covariance data (with data means vector) - (Recommended) All error variances should be specified on the diagonal of the S matrix, and not as a latent with a loading only on to that manifest
Function will test across all permutations of: - Covariance vs Raw data - Means vector present vs Means vector absent - Path versus Matrix specification - All orders of permutations of latents with manifests