| 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