OpenMx: imxPPML.Test.Battery – R documentation

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imxPPML.Test.Battery

Description

PPML can be applied to a number of special cases. This function will test the given model for all of these special cases.

Usage

imxPPML.Test.Battery(
  model,
  verbose = FALSE,
  testMissingness = TRUE,
  testPermutations = TRUE,
  testEstimates = TRUE,
  testFakeLatents = TRUE,
  tolerances = c(0.001, 0.001, 0.001)
)

Arguments

`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

Details

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

OpenMx

Extended Structural Equation Modelling

v2.19.5

Apache License (== 2.0)

Authors

Steven M. Boker [aut], Michael C. Neale [aut], Hermine H. Maes [aut], Michael J. Wilde [ctb], Michael Spiegel [aut], Timothy R. Brick [aut], Ryne Estabrook [aut], Timothy C. Bates [aut], Paras Mehta [ctb], Timo von Oertzen [ctb], Ross J. Gore [aut], Michael D. Hunter [aut], Daniel C. Hackett [ctb], Julian Karch [ctb], Andreas M. Brandmaier [ctb], Joshua N. Pritikin [aut, cre], Mahsa Zahery [aut], Robert M. Kirkpatrick [aut], Yang Wang [ctb], Ben Goodrich [ctb], Charles Driver [ctb], Massachusetts Institute of Technology [cph], S. G. Johnson [cph], Association for Computing Machinery [cph], Dieter Kraft [cph], Stefan Wilhelm [cph], Sarah Medland [cph], Carl F. Falk [cph], Matt Keller [cph], Manjunath B G [cph], The Regents of the University of California [cph], Lester Ingber [cph], Wong Shao Voon [cph], Juan Palacios [cph], Jiang Yang [cph], Gael Guennebaud [cph], Jitse Niesen [cph]

Initial release

2021-03-26