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  "Package": "modsem",
  "Type": "Package",
  "Title": "Latent Interaction (and Moderation) Analysis in Structural\nEquation Models (SEM)",
  "Version": "1.0.20",
  "Authors@R": "c(person(given = \"Kjell\", family = \"Solem Slupphaug\",\nemail = \"slupphaugkjell@gmail.com\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0009-0005-8324-2834\")),\nperson(given = \"Mehmet\", family=\"Mehmetoglu\",\nemail = \"mehmetm@ntnu.no\", role=c(\"ctb\"),\ncomment = c(ORCID=\"0000-0002-6092-8551\")),\nperson(given = \"Matthias\", family=\"Mittner\",\nemail = \"matthias.mittner@uit.no\", role=c(\"ctb\"),\ncomment = c(ORCID=\"0000-0003-0205-7353\")))",
  "Maintainer": "Kjell Solem Slupphaug <slupphaugkjell@gmail.com>",
  "Description": "Estimation of interaction (i.e., moderation) effects\nbetween latent variables in structural equation models (SEM).\nThe supported methods are: The constrained approach (Algina &\nMoulder, 2001). The unconstrained approach (Marsh et al.,\n2004). The residual centering approach (Little et al., 2006).\nThe double centering approach (Lin et al., 2010). The latent\nmoderated structural equations (LMS) approach (Klein &\nMoosbrugger, 2000). The quasi-maximum likelihood (QML) approach\n(Klein & Muthén, 2007) The constrained- unconstrained,\nresidual- and double centering- approaches are estimated via\n'lavaan' (Rosseel, 2012), whilst the LMS- and QML- approaches\nare estimated via 'modsem' it self. Alternatively model can be\nestimated via 'Mplus' (Muthén & Muthén, 1998-2017). References:\nAlgina, J., & Moulder, B. C. (2001).\n<doi:10.1207/S15328007SEM0801_3>. \"A note on estimating the\nJöreskog-Yang model for latent variable interaction using\n'LISREL' 8.3.\" Klein, A., & Moosbrugger, H. (2000).\n<doi:10.1007/BF02296338>. \"Maximum likelihood estimation of\nlatent interaction effects with the LMS method.\" Klein, A. G.,\n& Muthén, B. O. (2007). <doi:10.1080/00273170701710205>.\n\"Quasi-maximum likelihood estimation of structural equation\nmodels with multiple interaction and quadratic effects.\" Lin,\nG. C., Wen, Z., Marsh, H. W., & Lin, H. S. (2010).\n<doi:10.1080/10705511.2010.488999>. \"Structural equation models\nof latent interactions: Clarification of orthogonalizing and\ndouble-mean-centering strategies.\" Little, T. D., Bovaird, J.\nA., & Widaman, K. F. (2006). <doi:10.1207/s15328007sem1304_1>.\n\"On the merits of orthogonalizing powered and product terms:\nImplications for modeling interactions among latent variables.\"\nMarsh, H. W., Wen, Z., & Hau, K. T. (2004).\n<doi:10.1037/1082-989X.9.3.275>. \"Structural equation models of\nlatent interactions: evaluation of alternative estimation\nstrategies and indicator construction.\" Muthén, L.K. and\nMuthén, B.O. (1998-2017). \"'Mplus' User’s Guide. Eighth\nEdition.\" <https://www.statmodel.com/>. Rosseel Y (2012).\n<doi:10.18637/jss.v048.i02>. \"'lavaan': An R Package for\nStructural Equation Modeling.\"",
  "License": "MIT + file LICENSE",
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  "Author": "Kjell Solem Slupphaug [aut, cre] (ORCID:\n<https://orcid.org/0009-0005-8324-2834>), Mehmet Mehmetoglu\n[ctb] (ORCID: <https://orcid.org/0000-0002-6092-8551>),\nMatthias Mittner [ctb] (ORCID:\n<https://orcid.org/0000-0003-0205-7353>)",
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    "centered_estimates",
    "colorize_output",
    "compare_fit",
    "default_settings_da",
    "default_settings_pi",
    "estimate_h0",
    "extract_lavaan",
    "fit_modsem_da",
    "get_pi_data",
    "get_pi_syntax",
    "is_interaction_model",
    "modsem",
    "modsem_coef",
    "modsem_da",
    "modsem_inspect",
    "modsem_mimpute",
    "modsem_mplus",
    "modsem_nobs",
    "modsem_pi",
    "modsem_predict",
    "modsem_vcov",
    "modsemify",
    "parameter_estimates",
    "plot_interaction",
    "plot_jn",
    "plot_surface",
    "relcorr_single_item",
    "set_modsem_colors",
    "simple_slopes",
    "standardize_model",
    "standardized_estimates",
    "summarize_partable",
    "trace_path",
    "twostep",
    "var_interactions"
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  "_help": [
    {
      "page": "bootstrap_modsem",
      "title": "Bootstrap a modsem Model",
      "topics": [
        "bootstrap_modsem",
        "bootstrap_modsem.function",
        "bootstrap_modsem.modsem_da",
        "bootstrap_modsem.modsem_pi"
      ]
    },
    {
      "page": "centered_estimates",
      "title": "Get Centered Interaction Term Estimates",
      "topics": [
        "centered_estimates",
        "centered_estimates.lavaan",
        "centered_estimates.modsem_da"
      ]
    },
    {
      "page": "colorize_output",
      "title": "Capture, colorise, and emit console text",
      "topics": [
        "colorize_output"
      ]
    },
    {
      "page": "compare_fit",
      "title": "compare model fit for 'modsem' models",
      "topics": [
        "compare_fit"
      ]
    },
    {
      "page": "default_settings_da",
      "title": "default arguments fro LMS and QML approach",
      "topics": [
        "default_settings_da"
      ]
    },
    {
      "page": "default_settings_pi",
      "title": "default arguments for product indicator approaches",
      "topics": [
        "default_settings_pi"
      ]
    },
    {
      "page": "estimate_h0",
      "title": "Estimate baseline model for 'modsem' models",
      "topics": [
        "estimate_h0",
        "estimate_h0.modsem_da",
        "estimate_h0.modsem_pi"
      ]
    },
    {
      "page": "extract_lavaan",
      "title": "extract lavaan object from modsem object estimated using product indicators",
      "topics": [
        "extract_lavaan"
      ]
    },
    {
      "page": "fit_modsem_da",
      "title": "Fit measures for QML and LMS models",
      "topics": [
        "fit_modsem_da"
      ]
    },
    {
      "page": "get_pi_data",
      "title": "Get data with product indicators for different approaches",
      "topics": [
        "get_pi_data"
      ]
    },
    {
      "page": "get_pi_syntax",
      "title": "Get 'lavaan' syntax for product indicator approaches",
      "topics": [
        "get_pi_syntax"
      ]
    },
    {
      "page": "is_interaction_model",
      "title": "Check if model object has interaction terms",
      "topics": [
        "is_interaction_model"
      ]
    },
    {
      "page": "jordan",
      "title": "Jordan subset of PISA 2006 data",
      "topics": [
        "jordan"
      ]
    },
    {
      "page": "modsem",
      "title": "Estimate interaction effects in structural equation models (SEMs)",
      "topics": [
        "modsem"
      ]
    },
    {
      "page": "modsem_coef",
      "title": "Wrapper for coef",
      "topics": [
        "modsem_coef"
      ]
    },
    {
      "page": "modsem_da",
      "title": "Interaction between latent variables using LMS and QML approaches",
      "topics": [
        "modsem_da"
      ]
    },
    {
      "page": "modsem_inspect",
      "title": "Inspect model information",
      "topics": [
        "modsem_inspect",
        "modsem_inspect.lavaan",
        "modsem_inspect.modsem_da",
        "modsem_inspect.modsem_pi"
      ]
    },
    {
      "page": "modsem_mimpute",
      "title": "Estimate a 'modsem' model using multiple imputation",
      "topics": [
        "modsem_mimpute"
      ]
    },
    {
      "page": "modsem_mplus",
      "title": "Estimation latent interactions through 'Mplus'",
      "topics": [
        "modsem_mplus"
      ]
    },
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