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  "Package": "MonteCarloSEM",
  "Title": "Monte Carlo Simulation for Structural Equation Modeling",
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  "Authors@R": "person(given = \"Fatih\", family = \"Orçan\", role = c(\"aut\", \"cre\"), \nemail = \"fatihorcan84@gmail.com\",\ncomment = c(ORCID = \"0000-0003-1727-0456\"))",
  "Description": "Provides tools to conduct Monte Carlo simulations under\ndifferent conditions (e.g., varying sample size, data\nnormality) for structural equation models (SEMs). Data can be\nsimulated based on user-defined factor loadings and\ncorrelations, with optional non-normality added via Fleishman's\npower method (1978) <doi:10.1007/BF02293811>. Once generated,\nmodels can be estimated using 'lavaan'. This package\nfacilitates testing model performance across multiple\nsimulation scenarios. When data generation is completed (or\nwhen generated data sets are given) model tests can also be\nrun. Please cite as \"Orçan, F. (2021). MonteCarloSEM An R\nPackage to Simulate Data for SEM. International Journal of\nAssessment Tools in Education, 8 (3), 704-713.\"",
  "License": "GPL-3",
  "Encoding": "UTF-8",
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  "Copyright": "Fatih Orçan, Kahramanmaraş Sütçü İmam University, Türkiye",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-28 07:07:48 UTC",
    "User": "root"
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  "Author": "Fatih Orçan [aut, cre] (ORCID:\n<https://orcid.org/0000-0003-1727-0456>)",
  "Maintainer": "Fatih Orçan <fatihorcan84@gmail.com>",
  "Repository": "https://fatihorcan.r-universe.dev",
  "Date/Publication": "2026-01-28 13:40:07 UTC",
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      "title": "Generates Categorical Data Sets from Continuous Data.",
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      ]
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      "title": "Fits Structural Equation Models to Simulated Data Using lavaan.",
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      ]
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      ]
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      "title": "Introduces Missing at Random (MAR) Values into Data Sets.",
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      ]
    },
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      "title": "Introduces Missing Completely at Random (MCAR) Values into Data Sets.",
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      ]
    },
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      "title": "Introduces Missing Not at Random (MNAR) Values into Data Sets",
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      ]
    },
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      "title": "Simulates Categorical Data Sets Based on a Structural Equation Model (SEM).",
      "topics": [
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    },
    {
      "page": "sim.normal",
      "title": "Simulates Data Sets Based on a Structural Equation Model (SEM).",
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      ]
    },
    {
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      "title": "Simulates Data Sets from a Structural Equation Model (SEM) with Normal or Non-Normal Distributions",
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