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OpenMx is an open source extended structural equation modeling framework used to analyze data. The R package implements a wide array of statistical procedures for solving complex structural equation models, including confirmatory factor analysis, path analysis, item response theory models, latent class analysis and growth mixture modeling. OpenMx can handle large datasets and custom model specifications such as non-linear dynamics and genetic covariance structure models in addition to exploratory data analyses. Through the Matrix package (a core component of R), the program supports efficient linear algebra operations on dense, sparse and standard matrices.