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  "Package": "lavaSearch2",
  "Type": "Package",
  "Title": "Tools for Model Specification in the Latent Variable Framework",
  "Version": "2.0.3",
  "Date": "2024-02-22",
  "Authors@R": "c(\nperson(\"Brice\", \"Ozenne\", role = c(\"aut\", \"cre\"), email = \"brice.mh.ozenne@gmail.com\", comment = c(ORCID = \"0000-0001-9694-2956\"))\n)",
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  "BugReports": "https://github.com/bozenne/lavaSearch2/issues",
  "Description": "Tools for model specification in the latent variable\nframework (add-on to the 'lava' package). The package contains\nthree main functionalities: Wald tests/F-tests with improved\ncontrol of the type 1 error in small samples, adjustment for\nmultiple comparisons when searching for local dependencies, and\nadjustment for multiple comparisons when doing inference for\nmultiple latent variable models.",
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  "Date/Publication": "2024-07-18 13:34:02 UTC",
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  "Packaged": {
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  "Author": "Brice Ozenne [aut, cre] (ORCID:\n<https://orcid.org/0000-0001-9694-2956>)",
  "Maintainer": "Brice Ozenne <brice.mh.ozenne@gmail.com>",
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    "author": "Brice Maxime Hugues Ozenne <hpl802@ku.dk>",
    "committer": "Brice Maxime Hugues Ozenne <hpl802@ku.dk>",
    "message": "... fix badge ...\n",
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  "_exports": [
    "addLink",
    "calcDistMaxBootstrap",
    "calcDistMaxIntegral",
    "calcType1postSelection",
    "calibrateType1",
    "checkData",
    "clean",
    "coef2",
    "coefCov",
    "coefExtra",
    "coefIndexModel",
    "coefIntercept",
    "coefRef",
    "coefReg",
    "coefType",
    "coefVar",
    "combineFormula",
    "compare2",
    "confint2",
    "createContrast",
    "effects2",
    "estimate2",
    "extractData",
    "findNewLink",
    "formula2character",
    "gaussian_weight_gradient.lvm",
    "gaussian_weight_hessian.lvm",
    "gaussian_weight_logLik.lvm",
    "gaussian_weight_method.lvm",
    "gaussian_weight_objective.lvm",
    "gaussian_weight_score.lvm",
    "gaussian_weight.estimate.hook",
    "getNewLink",
    "getNewModel",
    "getStep",
    "getVarCov2",
    "glht2",
    "hessian2",
    "iid2",
    "iid2plot",
    "iidJack",
    "information2",
    "initVarLink",
    "initVarLinks",
    "intDensTri",
    "leverage2",
    "matrixPower",
    "model.tables2",
    "modelsearch2",
    "moments2",
    "nobs2",
    "nStep",
    "residuals2",
    "sampleRepeated",
    "score2",
    "sCorrect",
    "sCorrect<-",
    "setLink",
    "skeleton",
    "summary2",
    "transformSummaryTable",
    "tryWithWarnings",
    "vcov2"
  ],
  "_help": [
    {
      "page": "addLink",
      "title": "Add a New Link Between Two Variables in a LVM",
      "concept": [
        "setter"
      ],
      "topics": [
        "addLink",
        "addLink.lvm",
        "addLink.lvm.reduced"
      ]
    },
    {
      "page": "autoplot_calibrateType1",
      "title": "Graphical Display of the Bias or Type 1 Error",
      "topics": [
        "autoplot.calibrateType1",
        "autoplot_calibrateType1"
      ]
    },
    {
      "page": "autoplot.intDensTri",
      "title": "2D-display of the Domain Used to Compute the Integral",
      "topics": [
        "autoplot.intDensTri"
      ]
    },
    {
      "page": "autoplot.modelsearch2",
      "title": "Display the Value of a Coefficient across the Steps.",
      "concept": [
        "extractor",
        "modelsearch"
      ],
      "topics": [
        "autoplot.modelsearch2",
        "autplot-modelsearch2"
      ]
    },
    {
      "page": "calcDistMax",
      "title": "Adjust the p.values Using the Quantiles of the Max Statistic",
      "concept": [
        "modelsearch",
        "post-selection inference"
      ],
      "topics": [
        "calcDistMax",
        "calcDistMaxBootstrap",
        "calcDistMaxIntegral"
      ]
    },
    {
      "page": "calcType1postSelection",
      "title": "Compute the Type 1 Error After Selection [EXPERIMENTAL]",
      "concept": [
        "post-selection inference"
      ],
      "topics": [
        "calcType1postSelection"
      ]
    },
    {
      "page": "calibrateType1",
      "title": "Simulation Study Assessing Bias and Type 1 Error",
      "topics": [
        "calibrateType1",
        "calibrateType1.lvm",
        "calibrateType1.lvmfit"
      ]
    },
    {
      "page": "checkData",
      "title": "Check that Validity of the Dataset",
      "concept": [
        "diagnostic"
      ],
      "topics": [
        "checkData",
        "checkData.lvm"
      ]
    },
    {
      "page": "clean",
      "title": "Simplify a lvm object",
      "topics": [
        "clean",
        "clean.lvm"
      ]
    },
    {
      "page": "coef2",
      "title": "Model Coefficients With Small Sample Correction",
      "concept": [
        "extractor"
      ],
      "topics": [
        "coef2",
        "coef2.lvmfit"
      ]
    },
    {
      "page": "coefByType",
      "title": "Extract the Coefficient by Type",
      "concept": [
        "extractor"
      ],
      "topics": [
        "coefByType",
        "coefCov",
        "coefCov.lvm",
        "coefCov.lvmfit",
        "coefCov.multigroup",
        "coefExtra",
        "coefExtra.lvm",
        "coefExtra.lvmfit",
        "coefExtra.multigroup",
        "coefIndexModel",
        "coefIndexModel.lvm",
        "coefIndexModel.lvmfit",
        "coefIndexModel.multigroup",
        "coefIndexModel.multigroupfit",
        "coefIntercept",
        "coefIntercept.lvm",
        "coefIntercept.lvmfit",
        "coefIntercept.multigroup",
        "coefRef",
        "coefRef.lvmfit",
        "coefReg",
        "coefReg.lvm",
        "coefReg.lvmfit",
        "coefReg.multigroup",
        "coefVar",
        "coefVar.lvm",
        "coefVar.lvmfit",
        "coefVar.multigroup"
      ]
    },
    {
      "page": "coefType",
      "title": "Extract the Type of Each Coefficient",
      "concept": [
        "extractor"
      ],
      "topics": [
        "coefType",
        "coefType.lvm",
        "coefType.lvmfit",
        "coefType.multigroup"
      ]
    },
    {
      "page": "combineFormula",
      "title": "Combine formula",
      "topics": [
        "combineFormula"
      ]
    },
    {
      "page": "compare2",
      "title": "Test Linear Hypotheses With Small Sample Correction",
      "concept": [
        "inference"
      ],
      "topics": [
        "compare.lvmfit2",
        "compare2",
        "compare2.lvmfit",
        "compare2.lvmfit2"
      ]
    },
    {
      "page": "confint2",
      "title": "Confidence Intervals With Small Sample Correction",
      "concept": [
        "extractor"
      ],
      "topics": [
        "confint2",
        "confint2.lvmfit",
        "model.tables2"
      ]
    },
    {
      "page": "convFormulaCharacter",
      "title": "formula character conversion",
      "topics": [
        "convFormulaCharacter",
        "formula2character"
      ]
    },
    {
      "page": "createContrast",
      "title": "Create Contrast matrix",
      "topics": [
        "createContrast",
        "createContrast.character",
        "createContrast.list",
        "createContrast.lvmfit",
        "createContrast.lvmfit2",
        "createContrast.mmm"
      ]
    },
    {
      "page": "dfSigma",
      "title": "Degree of Freedom for the Chi-Square Test",
      "topics": [
        "dfSigma"
      ]
    },
    {
      "page": "effects2",
      "title": "Effects Through Pathways With Small Sample Correction",
      "concept": [
        "inference"
      ],
      "topics": [
        "effects.lvmfit2",
        "effects2",
        "effects2.lvmfit",
        "effects2.lvmfit2"
      ]
    },
    {
      "page": "extractData",
      "title": "Extract Data From a Latent Variable Model",
      "concept": [
        "extractor"
      ],
      "topics": [
        "extractData",
        "extractData.lvmfit"
      ]
    },
    {
      "page": "findNewLink",
      "title": "Find all New Links Between Variables",
      "concept": [
        "modelsearch"
      ],
      "topics": [
        "findNewLink",
        "findNewLink.lvm"
      ]
    },
    {
      "page": "gaussian_weight",
      "title": "Estimate LVM With Weights",
      "topics": [
        "gaussian_weight",
        "gaussian_weight.estimate.hook",
        "gaussian_weight_gradient.lvm",
        "gaussian_weight_hessian.lvm",
        "gaussian_weight_logLik.lvm",
        "gaussian_weight_method.lvm",
        "gaussian_weight_objective.lvm",
        "gaussian_weight_score.lvm"
      ]
    },
    {
      "page": "getNewLink",
      "title": "Extract the Links that Have Been Found by the modelsearch2.",
      "concept": [
        "extractor",
        "modelsearch"
      ],
      "topics": [
        "getNewLink",
        "getNewLink.modelsearch2"
      ]
    },
    {
      "page": "getNewModel",
      "title": "Extract the Model that Has Been Retains by the modelsearch2.",
      "concept": [
        "extractor",
        "modelsearch"
      ],
      "topics": [
        "getNewModel",
        "getNewModel.modelsearch2"
      ]
    },
    {
      "page": "getStep",
      "title": "Extract one Step From the Sequential Procedure",
      "concept": [
        "extractor",
        "modelsearch"
      ],
      "topics": [
        "getStep",
        "getStep.modelsearch2"
      ]
    },
    {
      "page": "getVarCov2",
      "title": "Residual Variance-Covariance Matrix With Small Sample Correction.",
      "concept": [
        "extractor"
      ],
      "topics": [
        "getVarCov2",
        "getVarCov2.lvmfit",
        "getVarCov2.lvmfit2"
      ]
    },
    {
      "page": "glht2",
      "title": "General Linear Hypothesis Testing With Small Sample Correction",
      "concept": [
        "multiple comparison",
        "multiple comparisons"
      ],
      "topics": [
        "glht.lvmfit2",
        "glht2",
        "glht2.lvmfit",
        "glht2.lvmfit2",
        "glht2.mmm"
      ]
    },
    {
      "page": "hessian2",
      "title": "Hessian With Small Sample Correction.",
      "concept": [
        "small sample inference"
      ],
      "topics": [
        "hessian2",
        "hessian2.lvmfit",
        "hessian2.lvmfit2"
      ]
    },
    {
      "page": "iid2",
      "title": "Influence Function With Small Sample Correction.",
      "concept": [
        "extractor"
      ],
      "topics": [
        "iid.lvmfit2",
        "iid2",
        "iid2.lvmfit",
        "iid2.lvmfit2"
      ]
    },
    {
      "page": "iid2plot",
      "title": "Display the i.i.d. Decomposition",
      "topics": [
        "iid2plot"
      ]
    },
    {
      "page": "iidJack",
      "title": "Jackknife iid Decomposition from Model Object",
      "concept": [
        "iid decomposition"
      ],
      "topics": [
        "iidJack",
        "iidJack.default"
      ]
    },
    {
      "page": "information2",
      "title": "Expected Information With Small Sample Correction.",
      "concept": [
        "extractor"
      ],
      "topics": [
        "information.lvmfit2",
        "information2",
        "information2.lvmfit",
        "information2.lvmfit2"
      ]
    },
    {
      "page": "initVarLink",
      "title": "Normalize var1 and var2",
      "topics": [
        "initVarLink",
        "initVarLinks"
      ]
    },
    {
      "page": "intDensTri",
      "title": "Integrate a Gaussian/Student Density over a Triangle",
      "concept": [
        "post-selection inference"
      ],
      "topics": [
        "intDensTri"
      ]
    },
    {
      "page": "lavaSearch2",
      "title": "Tools for Model Specification in the Latent Variable Framework",
      "topics": [
        "lavaSearch2-package",
        "lavaSearch2",
        "lavaSearch2,"
      ]
    },
    {
      "page": "leverage2",
      "title": "Leverage With Small Sample Correction.",
      "concept": [
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