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Revision of Everything OpenMx can do, with commented examples from Fri, 06/21/2019 - 11:58

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This is a page of example models. To learn about installing click here, for the OpenMx documentation and learning about path-based model and matrix syntax click here.

note: It is a new page for April 2019: If we go with this wiki as the basis for collecting all OpenMx Scripts, links will be added here.

Basic supported methods

  • Path Analysis
  • RAM
  • LISREL
  • Matrix algebra
Confirmatory Factor Analysis

  • One factor models
  • Multiple factor models
  • Ordinal factor analysis
  • Joint ordinal/continuous factor analysis
SEM, Indirect Effects, and Mediation

  • Regression
  • Ordinal regression
  • Mediation and why not to use it: Hunter
Measurement models and Psychometrics

  • Item response theory
  • Item factor analysis
  • Measurement invariance
  • Differential item functioning
  • Test equating
Multiple groups

  • Raw data
  • Weighted least squares
  • Extracting means, covariances, and thresholds
Growth and change

Multilevel SEM

  • Multilevel regression models
  • Multilevel factor models
  • Multilevel structural equation models
  • Multilevel mediation models Moderation
  • Mediated moderation models
  • Product of latent variables
Latent classes

Modeling different types of Data correctly

  • Continuous variables
  • Ordinal variables
  • Joint ordinal & continuous variables Contingency tables
  • Gaussian Copulas
  • Polychoric/Polyserial correlations
Modeling predictors, effects, definition variables, weights, missingness correctly

  • Exogenous predictors
  • Definition variables
  • Fixed & random effects
  • Sample weights
  • Missing data
  • Missing at random
  • Non-ignorable missingness
  • Censoring
How do I simulate data, power...

Twin Models

  • umx includes many twin models including ACE, ACEv, simplex, sex-limitation, GxE, common pathway, independent pathway, etc.
  • ACE / ADE
  • Univariate / Multivariate
  • Sex limitation
  • GxE interaction
  • Direction of causation
  • Two-stage Twin family models
  • Assortative mating models
  • Extended pedigree models
  • Niche selection
GREML and genomic SEM

  • Molecular genetic variance component analysis
  • Genomic Relatedness Matrix
  • Restricted Maximum Likelihood
  • Genetic Association analysis
Optimizers

  • Full Information Maximum Likelihood
  • Restricted Maximum Likelihood
  • Weighted least squares
  • Gradient-based quasi-Newton
  • Newton-Raphson
  • Direct Search - Nelder Mead
  • Stochastic global optimization
  • Expectation-Maximization (EM)
  • User defined fit functions
  • Custom compute plans
Parameter estimates and fit statistics

  • Goodness-of-fit
  • Getting chi-squared statistics with mxRefModels
  • Using mxSE to get standard errors of functions of free parameters
  • Using mxCI for profile likelihood confidence intervals
  • Using mxMI for model modification Bootstrapping
  • Robust Standard Errors
  • Factor Scores
  • Jack-knifing
  • Cross-validation
  • Modification indices
  • Bootstrap Likelihood ratio tests
How do I add covariates, different intervals for growth...

  • Fixed ages for all participants
  • Variable ages or assessment intervals for all participants
  • Data harmonization
How to

  • How do I plot results?
  • How to pick starting values
  • Leave them at zero
  • Make an educated guess
  • Use mxAutoStart
  • Error Status Codes
Misc