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        "BMI12",
        "BMI13",
        "BMIadult",
        "sbp"
      ],
      "rows": 552,
      "table": true,
      "tojson": true
    },
    {
      "name": "brisa",
      "title": "Simulated data",
      "object": "brisa",
      "file": "brisa.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Z1",
        "Z2",
        "Z3",
        "E1",
        "E2",
        "E3",
        "M1",
        "M2",
        "M3",
        "M4",
        "V1",
        "V2",
        "V3",
        "V4",
        "V5",
        "V6",
        "M5",
        "M6",
        "V7",
        "V8",
        "V9"
      ],
      "rows": 500,
      "table": true,
      "tojson": true
    },
    {
      "name": "calcium",
      "title": "Longitudinal Bone Mineral Density Data",
      "object": "calcium",
      "file": "calcium.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "bmd",
        "group",
        "person",
        "visit",
        "age",
        "ctime"
      ],
      "rows": 501,
      "table": true,
      "tojson": true
    },
    {
      "name": "deprdiag",
      "title": "50 patients from Monash Medical Centre, Melbourne",
      "object": "deprdiag",
      "file": "deprdiag.csv.gz",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Diagnosis.BDI.GHQ.n"
      ],
      "rows": 7,
      "table": true,
      "tojson": true
    },
    {
      "name": "hubble",
      "title": "Hubble data",
      "object": "hubble",
      "file": "hubble.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "v",
        "D",
        "sigma"
      ],
      "rows": 36,
      "table": true,
      "tojson": true
    },
    {
      "name": "hubble2",
      "title": "Hubble data",
      "object": "hubble2",
      "file": "hubble2.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Galaxy",
        "Velocity",
        "Distance"
      ],
      "rows": 24,
      "table": true,
      "tojson": true
    },
    {
      "name": "indoorenv",
      "title": "Data",
      "object": "indoorenv",
      "file": "indoorenv.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "I1a",
        "I1b",
        "I1c",
        "I2a",
        "I2b",
        "I2c",
        "H1a",
        "H1b",
        "H1c",
        "H2a",
        "H2b",
        "H2c",
        "gender"
      ],
      "rows": 200,
      "table": true,
      "tojson": true
    },
    {
      "name": "missingdata",
      "title": "Missing data example",
      "object": "missingdata",
      "file": "missingdata.rda",
      "class": [
        "list"
      ],
      "fields": [],
      "table": true,
      "tojson": true
    },
    {
      "name": "nldata",
      "title": "Example data (nonlinear model)",
      "object": "nldata",
      "file": "nldata.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "y1",
        "y2",
        "x"
      ],
      "rows": 50,
      "table": true,
      "tojson": true
    },
    {
      "name": "nsem",
      "title": "Example SEM data (nonlinear)",
      "object": "nsem",
      "file": "nsem.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "y1",
        "y2",
        "y3",
        "z1",
        "z2",
        "z3",
        "x"
      ],
      "rows": 500,
      "table": true,
      "tojson": true
    },
    {
      "name": "semdata",
      "title": "Example SEM data",
      "object": "semdata",
      "file": "semdata.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Z1",
        "Z2",
        "Z3",
        "E1",
        "E2",
        "E3",
        "M1",
        "M2",
        "M3",
        "M4",
        "V1",
        "V2",
        "V3",
        "V4",
        "V5",
        "V6",
        "M5",
        "M6",
        "V7",
        "V8",
        "V9"
      ],
      "rows": 500,
      "table": true,
      "tojson": true
    },
    {
      "name": "serotonin",
      "title": "Serotonin data",
      "object": "serotonin",
      "file": "serotonin.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "par",
        "sfc",
        "aci",
        "pci",
        "u1",
        "cau",
        "th",
        "put",
        "mid",
        "u2",
        "mem",
        "u",
        "age",
        "gene1",
        "gene2",
        "eta",
        "day",
        "depr",
        "T",
        "status"
      ],
      "rows": 250,
      "table": true,
      "tojson": true
    },
    {
      "name": "twindata",
      "title": "Twin menarche data",
      "object": "twindata",
      "file": "twindata.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "id",
        "zyg",
        "twinnum",
        "agemena",
        "status",
        "bw",
        "msmoke"
      ],
      "rows": 4000,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "op_concat",
      "title": "Concatenation operator",
      "topics": [
        "%++%"
      ]
    },
    {
      "page": "op_match",
      "title": "Matching operator (x not in y) oposed to the '%in%'-operator (x in y)",
      "topics": [
        "%in.closed%",
        "%in.open%",
        "%ni%"
      ]
    },
    {
      "page": "addvar",
      "title": "Add variable to (model) object",
      "topics": [
        "addvar",
        "addvar<-"
      ]
    },
    {
      "page": "backdoor",
      "title": "Backdoor criterion",
      "topics": [
        "backdoor"
      ]
    },
    {
      "page": "baptize",
      "title": "Label elements of object",
      "topics": [
        "baptize"
      ]
    },
    {
      "page": "binomial.rd",
      "title": "Define constant risk difference or relative risk association for binary exposure",
      "topics": [
        "binomial.rd",
        "binomial.rr"
      ]
    },
    {
      "page": "blockdiag",
      "title": "Combine matrices to block diagonal structure",
      "topics": [
        "blockdiag"
      ]
    },
    {
      "page": "bmd",
      "title": "Longitudinal Bone Mineral Density Data (Wide format)",
      "topics": [
        "bmd"
      ]
    },
    {
      "page": "bmidata",
      "title": "Data",
      "topics": [
        "bmidata"
      ]
    },
    {
      "page": "bootstrap",
      "title": "Generic bootstrap method",
      "topics": [
        "bootstrap"
      ]
    },
    {
      "page": "bootstrap.lvm",
      "title": "Calculate bootstrap estimates of a lvm object",
      "topics": [
        "bootstrap.lvm",
        "bootstrap.lvmfit"
      ]
    },
    {
      "page": "brisa",
      "title": "Simulated data",
      "topics": [
        "brisa"
      ]
    },
    {
      "page": "By",
      "title": "Apply a Function to a Data Frame Split by Factors",
      "topics": [
        "By"
      ]
    },
    {
      "page": "calcium",
      "title": "Longitudinal Bone Mineral Density Data",
      "topics": [
        "calcium"
      ]
    },
    {
      "page": "cancel",
      "title": "Generic cancel method",
      "topics": [
        "cancel",
        "cancel<-"
      ]
    },
    {
      "page": "children",
      "title": "Extract children or parent elements of object",
      "topics": [
        "adjMat",
        "ancestors",
        "children",
        "descendants",
        "edgeList",
        "parents",
        "roots",
        "sinks"
      ]
    },
    {
      "page": "click",
      "title": "Identify points on plot",
      "topics": [
        "click",
        "click.default",
        "colsel",
        "idplot"
      ]
    },
    {
      "page": "closed_testing",
      "title": "Closed testing procedure",
      "topics": [
        "alpha_zmax",
        "closed_testing"
      ]
    },
    {
      "page": "Col",
      "title": "Generate a transparent RGB color",
      "topics": [
        "Col"
      ]
    },
    {
      "page": "colorbar",
      "title": "Add color-bar to plot",
      "topics": [
        "colorbar"
      ]
    },
    {
      "page": "Combine",
      "title": "Report estimates across different models",
      "topics": [
        "Combine"
      ]
    },
    {
      "page": "commutation",
      "title": "Finds the unique commutation matrix",
      "topics": [
        "commutation"
      ]
    },
    {
      "page": "compare",
      "title": "Statistical tests",
      "topics": [
        "compare",
        "test_wald"
      ]
    },
    {
      "page": "complik",
      "title": "Composite Likelihood for probit latent variable models",
      "topics": [
        "complik"
      ]
    },
    {
      "page": "confband",
      "title": "Add Confidence limits bar to plot",
      "topics": [
        "confband",
        "forestplot",
        "plot_region"
      ]
    },
    {
      "page": "confint.lvmfit",
      "title": "Calculate confidence limits for parameters",
      "topics": [
        "confint.lvmfit",
        "confint.multigroupfit"
      ]
    },
    {
      "page": "confpred",
      "title": "Conformal prediction",
      "topics": [
        "confpred"
      ]
    },
    {
      "page": "constrain-set",
      "title": "Add non-linear constraints to latent variable model",
      "topics": [
        "constrain",
        "constrain.default",
        "constrain<-",
        "constrain<-.default",
        "constrain<-.multigroup",
        "constraints",
        "parameter<-"
      ]
    },
    {
      "page": "contr",
      "title": "Create contrast matrix",
      "topics": [
        "contr",
        "pairwise.diff",
        "parsedesign"
      ]
    },
    {
      "page": "correlation",
      "title": "Generic method for extracting correlation coefficients of model object",
      "topics": [
        "correlation"
      ]
    },
    {
      "page": "covariance",
      "title": "Add covariance structure to Latent Variable Model",
      "topics": [
        "covariance",
        "covariance.lvm",
        "covariance<-",
        "covariance<-.lvm",
        "variance",
        "variance.lvm",
        "variance<-",
        "variance<-.lvm"
      ]
    },
    {
      "page": "csplit",
      "title": "Split data into folds",
      "topics": [
        "csplit",
        "foldr"
      ]
    },
    {
      "page": "curly",
      "title": "Adds curly brackets to plot",
      "topics": [
        "curly"
      ]
    },
    {
      "page": "deprdiag",
      "title": "50 patients from Monash Medical Centre, Melbourne",
      "topics": [
        "deprdiag"
      ]
    },
    {
      "page": "devcoords",
      "title": "Returns device-coordinates and plot-region",
      "topics": [
        "devcoords"
      ]
    },
    {
      "page": "diagtest",
      "title": "Calculate diagnostic tests for 2x2 table",
      "topics": [
        "diagtest",
        "Diff",
        "odds",
        "OR",
        "Ratio",
        "riskcomp"
      ]
    },
    {
      "page": "dsep.lvm",
      "title": "Check d-separation criterion",
      "topics": [
        "dsep",
        "dsep.lvm"
      ]
    },
    {
      "page": "equivalence",
      "title": "Identify candidates of equivalent models",
      "topics": [
        "equivalence"
      ]
    },
    {
      "page": "estimate.array",
      "title": "Estimate parameters and influence function.",
      "topics": [
        "estimate.array",
        "estimate.data.frame"
      ]
    },
    {
      "page": "estimate.default",
      "title": "Influence function based inference",
      "topics": [
        "estimate",
        "estimate.default",
        "estimate.mlm",
        "merge.estimate"
      ]
    },
    {
      "page": "estimate.lvm",
      "title": "Estimation of parameters in a Latent Variable Model (lvm)",
      "topics": [
        "estimate.lvm"
      ]
    },
    {
      "page": "eventTime",
      "title": "Add an observed event time outcome to a latent variable model.",
      "topics": [
        "eventTime",
        "eventTime<-"
      ]
    },
    {
      "page": "Expand",
      "title": "Create a Data Frame from All Combinations of Factors",
      "topics": [
        "Expand"
      ]
    },
    {
      "page": "fplot",
      "title": "fplot",
      "topics": [
        "fplot"
      ]
    },
    {
      "page": "getSAS",
      "title": "Read SAS output",
      "topics": [
        "getSAS"
      ]
    },
    {
      "page": "gof",
      "title": "Extract model summaries and GOF statistics for model object",
      "topics": [
        "gof",
        "gof.lvmfit",
        "information",
        "information.lvmfit",
        "logLik.lvmfit",
        "moments",
        "moments.lvm",
        "score",
        "score.lvmfit"
      ]
    },
    {
      "page": "Graph",
      "title": "Extract graph",
      "topics": [
        "Graph",
        "Graph<-"
      ]
    },
    {
      "page": "Grep",
      "title": "Finds elements in vector or column-names in data.frame/matrix",
      "topics": [
        "Grep"
      ]
    },
    {
      "page": "hubble",
      "title": "Hubble data",
      "topics": [
        "hubble"
      ]
    },
    {
      "page": "hubble2",
      "title": "Hubble data",
      "topics": [
        "hubble2"
      ]
    },
    {
      "page": "IC.default",
      "title": "Extract influence function from model object",
      "topics": [
        "IC",
        "IC.default",
        "var_ic"
      ]
    },
    {
      "page": "iid",
      "title": "Extract i.i.d. decomposition from model object",
      "topics": [
        "iid"
      ]
    },
    {
      "page": "images",
      "title": "Organize several image calls (for visualizing categorical data)",
      "topics": [
        "images"
      ]
    },
    {
      "page": "index-method",
      "title": "Generic method for extract index of an object",
      "topics": [
        "index",
        "index<-"
      ]
    },
    {
      "page": "index-lvm",
      "title": "Extract the parameter indicies of a lvm object",
      "topics": [
        "index.lvm",
        "index.lvmfit",
        "index<-.lvm",
        "index<-.lvmfit"
      ]
    },
    {
      "page": "indoorenv",
      "title": "Data",
      "topics": [
        "indoorenv"
      ]
    },
    {
      "page": "intercept",
      "title": "Fix mean parameters in 'lvm'-object",
      "topics": [
        "intercept",
        "intercept.lvm",
        "intercept<-",
        "intercept<-.lvm"
      ]
    },
    {
      "page": "intervention.lvm",
      "title": "Define intervention",
      "topics": [
        "intervention",
        "intervention.lvm",
        "intervention<-",
        "intervention<-.lvm"
      ]
    },
    {
      "page": "Inverse",
      "title": "Generalized matrix inverse",
      "topics": [
        "Inverse"
      ]
    },
    {
      "page": "ksmooth2",
      "title": "Plot/estimate surface",
      "topics": [
        "ksmooth2",
        "surface"
      ]
    },
    {
      "page": "labels-set",
      "title": "Define labels of graph",
      "topics": [
        "edgelabels",
        "edgelabels<-",
        "edgelabels<-.lvm",
        "labels",
        "labels.graphNEL",
        "labels.lvm",
        "labels.lvmfit",
        "labels<-",
        "labels<-.default",
        "nodecolor",
        "nodecolor<-",
        "nodecolor<-.default"
      ]
    },
    {
      "page": "lava.options",
      "title": "Set global options for 'lava'",
      "topics": [
        "lava.options"
      ]
    },
    {
      "page": "lvm",
      "title": "Initialize new latent variable model",
      "topics": [
        "lvm",
        "print.lvm",
        "summary.lvm"
      ]
    },
    {
      "page": "makemissing",
      "title": "Create random missing data",
      "topics": [
        "makemissing"
      ]
    },
    {
      "page": "measurement.error",
      "title": "Two-stage (non-linear) measurement error",
      "topics": [
        "measurement.error"
      ]
    },
    {
      "page": "Missing",
      "title": "Missing value generator",
      "topics": [
        "Missing",
        "Missing,",
        "Missing<-"
      ]
    },
    {
      "page": "missingdata",
      "title": "Missing data example",
      "topics": [
        "missingdata"
      ]
    },
    {
      "page": "mixture",
      "title": "Estimate mixture latent variable model.",
      "topics": [
        "mixture"
      ]
    },
    {
      "page": "Model",
      "title": "Extract model",
      "topics": [
        "Model",
        "Model<-"
      ]
    },
    {
      "page": "modelsearch",
      "title": "Model searching",
      "topics": [
        "modelsearch"
      ]
    },
    {
      "page": "multinomial",
      "title": "Estimate probabilities in contingency table",
      "topics": [
        "gkgamma",
        "kappa.multinomial",
        "kappa.table",
        "multinomial"
      ]
    },
    {
      "page": "mvnmix",
      "title": "Estimate mixture latent variable model",
      "topics": [
        "mvnmix"
      ]
    },
    {
      "page": "na.pass0",
      "title": "Handle Missing Values in Objects",
      "topics": [
        "na.pass0"
      ]
    },
    {
      "page": "NA2x",
      "title": "Convert to/from NA",
      "topics": [
        "NA2x",
        "x2NA"
      ]
    },
    {
      "page": "nldata",
      "title": "Example data (nonlinear model)",
      "topics": [
        "nldata"
      ]
    },
    {
      "page": "NR",
      "title": "Newton-Raphson method",
      "topics": [
        "NR"
      ]
    },
    {
      "page": "nsem",
      "title": "Example SEM data (nonlinear)",
      "topics": [
        "nsem"
      ]
    },
    {
      "page": "ordinal-set",
      "title": "Define variables as ordinal",
      "topics": [
        "ordinal",
        "ordinal<-"
      ]
    },
    {
      "page": "ordreg",
      "title": "Univariate cumulative link regression models",
      "topics": [
        "ordreg"
      ]
    },
    {
      "page": "parpos",
      "title": "Generic method for finding indeces of model parameters",
      "topics": [
        "parpos"
      ]
    },
    {
      "page": "partialcor",
      "title": "Calculate partial correlations",
      "topics": [
        "partialcor"
      ]
    },
    {
      "page": "path",
      "title": "Extract pathways in model graph",
      "topics": [
        "effects",
        "effects.lvmfit",
        "path",
        "path.lvm",
        "totaleffects"
      ]
    },
    {
      "page": "pcor",
      "title": "Polychoric correlation",
      "topics": [
        "pcor"
      ]
    },
    {
      "page": "PD",
      "title": "Dose response calculation for binomial regression models",
      "topics": [
        "PD"
      ]
    },
    {
      "page": "pdfconvert",
      "title": "Convert pdf to raster format",
      "topics": [
        "pdfconvert"
      ]
    },
    {
      "page": "plot.estimate",
      "title": "Plot method for 'estimate' objects",
      "topics": [
        "plot.estimate"
      ]
    },
    {
      "page": "plot.lvm",
      "title": "Plot path diagram",
      "topics": [
        "plot.lvm",
        "plot.lvmfit"
      ]
    },
    {
      "page": "plot.sim",
      "title": "Plot method for simulation 'sim' objects",
      "topics": [
        "density.sim",
        "plot.sim"
      ]
    },
    {
      "page": "plotConf",
      "title": "Plot regression lines",
      "topics": [
        "plotConf"
      ]
    },
    {
      "page": "predict_glm",
      "title": "Predict from a GLM with modified coefficients",
      "topics": [
        "predict_glm"
      ]
    },
    {
      "page": "predict.lvm",
      "title": "Prediction in structural equation models",
      "topics": [
        "predict.lvm",
        "predict.lvmfit"
      ]
    },
    {
      "page": "predictlvm",
      "title": "Predict function for latent variable models",
      "topics": [
        "predictlvm"
      ]
    },
    {
      "page": "Print",
      "title": "Generic print method",
      "topics": [
        "Print"
      ]
    },
    {
      "page": "Range.lvm",
      "title": "Define range constraints of parameters",
      "topics": [
        "Range.lvm"
      ]
    },
    {
      "page": "rbind.Surv",
      "title": "Appending 'Surv' objects",
      "topics": [
        "rbind.Surv"
      ]
    },
    {
      "page": "regression-set",
      "title": "Add regression association to latent variable model",
      "topics": [
        "regression",
        "regression.lvm",
        "regression<-",
        "regression<-.lvm"
      ]
    },
    {
      "page": "revdiag",
      "title": "Create/extract 'reverse'-diagonal matrix or off-diagonal elements",
      "topics": [
        "offdiag",
        "offdiag<-",
        "revdiag",
        "revdiag<-"
      ]
    },
    {
      "page": "rmvar",
      "title": "Remove variables from (model) object.",
      "topics": [
        "kill",
        "kill<-",
        "rmvar",
        "rmvar<-"
      ]
    },
    {
      "page": "rotate2",
      "title": "Performs a rotation in the plane",
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