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    "changedata",
    "checkFisher",
    "checkJacobian",
    "cholesky",
    "CIplot",
    "compare",
    "corr",
    "covML",
    "covMLtoUB",
    "covUBtoML",
    "diagonalizationMatrix",
    "dlvm1",
    "duplicationMatrix",
    "eliminationMatrix",
    "emergencystart",
    "equalityScoreTest",
    "esa",
    "esa_manual",
    "factorscores",
    "find_penalized_lambda",
    "fit",
    "fixpar",
    "fixstart",
    "freepar",
    "generate",
    "getmatrix",
    "getVCOV",
    "ggm",
    "groupequal",
    "groupfree",
    "gvar",
    "identify",
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    "Ising",
    "latentgrowth",
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    "logbook",
    "loop_psychonetrics",
    "lrnm",
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    "meta_gvar",
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    "meta_var1",
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    "MIs",
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    "ml_lrnm",
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    "ml_tsdlvm1",
    "ml_var",
    "modelsearch",
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    "panelgvar",
    "panellvgvar",
    "panelvar",
    "parameters",
    "parequal",
    "partialprune",
    "penalize",
    "penaltyVector",
    "prec",
    "precision",
    "prune",
    "refit",
    "resid",
    "residuals",
    "ri_clpm",
    "ri_clpm_search",
    "ri_clpm_stationary",
    "rnm",
    "runmodel",
    "setestimator",
    "setoptimizer",
    "setverbose",
    "show",
    "simplestructure",
    "stepup",
    "transmod",
    "ts_lvgvar",
    "tsdlvm1",
    "unionmodel",
    "unpenalize",
    "update_baseline",
    "update_saturated",
    "usecpp",
    "var1",
    "varcov",
    "write_psychonetrics"
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      "class": [
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      "class": [
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      "title": "Structural Equation Modeling and Confirmatory Network Analysis",
      "topics": [
        "psychonetrics-package",
        "psychonetrics"
      ]
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      "title": "Aggregate Bootstrapped Models",
      "topics": [
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      ]
    },
    {
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      "title": "Constrain all elements of a matrix equal within groups",
      "topics": [
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      ]
    },
    {
      "page": "bifactor",
      "title": "Bi-factor models",
      "topics": [
        "bifactor"
      ]
    },
    {
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      "title": "Blume-Capel model",
      "topics": [
        "BlumeCapel"
      ]
    },
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      "page": "bootstrap",
      "title": "Bootstrap a psychonetrics model",
      "topics": [
        "bootstrap"
      ]
    },
    {
      "page": "changedata",
      "title": "Change the data of a psychonetrics object",
      "topics": [
        "changedata"
      ]
    },
    {
      "page": "CIplot",
      "title": "Plot Analytic Confidence Intervals",
      "topics": [
        "CIplot"
      ]
    },
    {
      "page": "compare",
      "title": "Model comparison",
      "topics": [
        "compare",
        "print.psychonetrics_compare"
      ]
    },
    {
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      "title": "Maximum likelihood covariance estimate",
      "topics": [
        "covML",
        "covMLtoUB",
        "covUBtoML"
      ]
    },
    {
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      "title": "Diagnostic functions",
      "topics": [
        "checkFisher",
        "checkJacobian"
      ]
    },
    {
      "page": "dlvm1_family",
      "title": "Lag-1 dynamic latent variable model family of psychonetrics models for panel data",
      "topics": [
        "dlvm1",
        "panelgvar",
        "panellvgvar",
        "panelvar",
        "panel_lvgvar"
      ]
    },
    {
      "page": "algebraMatrices",
      "title": "Model matrices used in derivatives",
      "topics": [
        "diagonalizationMatrix",
        "duplicationMatrix",
        "eliminationMatrix"
      ]
    },
    {
      "page": "emergencystart",
      "title": "Reset starting values to simple defaults",
      "topics": [
        "emergencystart"
      ]
    },
    {
      "page": "equalityScoreTest",
      "title": "Score (Lagrange Multiplier) test for cross-group equality constraints",
      "topics": [
        "equalityScoreTest"
      ]
    },
    {
      "page": "esa",
      "title": "Ergodic Subspace Analysis",
      "topics": [
        "esa",
        "esa_manual",
        "plot.esa",
        "plot.esa_manual",
        "print.esa",
        "print.esa_manual"
      ]
    },
    {
      "page": "factorscores",
      "title": "Compute factor scores",
      "topics": [
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      ]
    },
    {
      "page": "find_penalized_lambda",
      "title": "Automated Lambda Selection for Penalized Estimation",
      "topics": [
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        "compute_lambda_max",
        "compute_penalized_ebic",
        "find_penalized_lambda"
      ]
    },
    {
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      "title": "Print fit indices",
      "topics": [
        "fit"
      ]
    },
    {
      "page": "fixpar_freepar",
      "title": "Parameters modification",
      "topics": [
        "fixpar",
        "freepar"
      ]
    },
    {
      "page": "fixstart",
      "title": "Attempt to Fix Starting Values",
      "topics": [
        "fixstart"
      ]
    },
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      "title": "Generate data from a fitted psychonetrics object",
      "topics": [
        "generate"
      ]
    },
    {
      "page": "getmatrix",
      "title": "Extract an estimated matrix",
      "topics": [
        "getmatrix"
      ]
    },
    {
      "page": "getVCOV",
      "title": "Obtain the asymptotic covariance matrix",
      "topics": [
        "getVCOV"
      ]
    },
    {
      "page": "groupequal_groupfree",
      "title": "Group equality constrains",
      "topics": [
        "groupequal",
        "groupfree"
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    },
    {
      "page": "Ising",
      "title": "Ising model",
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        "Ising"
      ]
    },
    {
      "page": "Jonas",
      "title": "Jonas dataset",
      "topics": [
        "Jonas"
      ]
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    {
      "page": "latentgrowth",
      "title": "Latnet growth curve model",
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        "latentgrowth"
      ]
    },
    {
      "page": "logbook",
      "title": "Retrieve the psychonetrics logbook",
      "topics": [
        "logbook"
      ]
    },
    {
      "page": "loop_psychonetrics",
      "title": "Parallel loop for psychonetrics",
      "topics": [
        "loop_psychonetrics"
      ]
    },
    {
      "page": "lvm_family",
      "title": "Continuous latent variable family of psychonetrics models",
      "topics": [
        "lnm",
        "lrnm",
        "lvm",
        "rnm"
      ]
    },
    {
      "page": "meta_lvm",
      "title": "Meta-analytic latent variable model",
      "topics": [
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    },
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