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  "Title": "Regularized Structural Equation Modeling",
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  "Maintainer": "Ross Jacobucci <rcjacobuc@gmail.com>",
  "Description": "Uses both ridge and lasso penalties (and extensions) to\npenalize specific parameters in structural equation models. The\npackage offers additional cost functions, cross validation, and\nother extensions beyond traditional structural equation models.\nAlso contains a function to perform exploratory mediation\n(XMed).",
  "URL": "https://github.com/Rjacobucci/regsem/",
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    "det_range",
    "det_range_par",
    "efaModel",
    "extractMatrices",
    "fit_indices",
    "multi_optim",
    "pen_mod",
    "regsem",
    "stabsel",
    "stabsel_par",
    "stabsel_thr",
    "xmed"
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      "page": "cv_regsem",
      "title": "The main function that runs multiple penalty values.",
      "topics": [
        "cv_regsem"
      ]
    },
    {
      "page": "det_range",
      "title": "Determine the initial range for stability selection",
      "topics": [
        "det_range"
      ]
    },
    {
      "page": "det_range_par",
      "title": "Determine the initial range for stability selection, parallel version",
      "topics": [
        "det_range_par"
      ]
    },
    {
      "page": "efaModel",
      "title": "Generates an EFA model to be used by lavaan and regsem Function created by Florian Scharf for the paper Should regularization replace simple structure rotation in Exploratory Factor Analysis - Scharf & Nestler (in press at SEM)",
      "topics": [
        "efaModel"
      ]
    },
    {
      "page": "extractMatrices",
      "title": "This function extracts RAM matrices from a lavaan object.",
      "topics": [
        "extractMatrices"
      ]
    },
    {
      "page": "fit_indices",
      "title": "Calculates the fit indices",
      "topics": [
        "fit_indices"
      ]
    },
    {
      "page": "multi_optim",
      "title": "Multiple starts for Regularized Structural Equation Modeling",
      "topics": [
        "multi_optim"
      ]
    },
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      "title": "Takes either a vector of parameter ids or a vector of named parameters and returns a vector of parameter ids",
      "topics": [
        "parse_parameters"
      ]
    },
    {
      "page": "pen_mod",
      "title": "Penalized model syntax.",
      "topics": [
        "pen_mod"
      ]
    },
    {
      "page": "plot.cvregsem",
      "title": "Plot function for cv_regsem",
      "topics": [
        "plot.cvregsem"
      ]
    },
    {
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      "title": "Calculates the objective function values.",
      "topics": [
        "rcpp_fit_fun"
      ]
    },
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    },
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      "title": "Compute quasi Hessian",
      "topics": [
        "rcpp_quasi_calc"
      ]
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    {
      "page": "rcpp_RAMmult",
      "title": "Take RAM matrices, multiplies, and returns Implied Covariance matrix.",
      "topics": [
        "rcpp_RAMmult"
      ]
    },
    {
      "page": "regsem",
      "title": "Regularized Structural Equation Modeling. Tests a single penalty. For testing multiple penalties, see cv_regsem().",
      "topics": [
        "regsem"
      ]
    },
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      "title": "Stability selection",
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        "stabsel"
      ]
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      "title": "Stability selection, parallelized version",
      "topics": [
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    {
      "page": "summary.cvregsem",
      "title": "print information about cvregsem object",
      "topics": [
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      ]
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      "title": "Summary results from regsem.",
      "topics": [
        "summary.regsem"
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