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

[Package *OpenMx* version 2.21.11 Index]