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      "version": "5.0-1",
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      "version": "5.1-0",
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      "version": "5.1-1",
      "date": "2023-09-12"
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      "version": "5.1-2",
      "date": "2024-03-11"
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      "version": "5.1-3",
      "date": "2024-05-28"
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      "version": "5.2-0",
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      "version": "5.2-1",
      "date": "2024-12-02"
    },
    {
      "version": "5.2-2",
      "date": "2025-01-10"
    },
    {
      "version": "5.2-3",
      "date": "2025-03-16"
    },
    {
      "version": "5.2-4",
      "date": "2025-10-05"
    },
    {
      "version": "5.2-5",
      "date": "2026-01-09"
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  ],
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    "ordGridFun",
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    "testCharDateTime",
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    "whichClosek",
    "whichClosePW",
    "whichClosest",
    "wtd.Ecdf",
    "wtd.loess.noiter",
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    "wtd.quantile",
    "wtd.rank",
    "wtd.table",
    "wtd.var",
    "xInch",
    "xless",
    "xy.group",
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    "xySortNoDupNoNA",
    "yearDays",
    "yInch",
    "ynbind",
    "zoom"
  ],
  "_help": [
    {
      "page": "nin",
      "title": "Find Matching (or Non-Matching) Elements",
      "topics": [
        "%nin%"
      ]
    },
    {
      "page": "abs.error.pred",
      "title": "Indexes of Absolute Prediction Error for Linear Models",
      "concept": [
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      "topics": [
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        "print.abs.error.pred"
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    },
    {
      "page": "addggLayers",
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    {
      "page": "addMarginal",
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      "topics": [
        "addMarginal"
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    {
      "page": "all.is.numeric",
      "title": "Check if All Elements in Character Vector are Numeric",
      "topics": [
        "all.is.numeric"
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    {
      "page": "approxExtrap",
      "title": "Linear Extrapolation",
      "topics": [
        "approxExtrap"
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    {
      "page": "areg",
      "title": "Additive Regression with Optimal Transformations on Both Sides using Canonical Variates",
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        "plot.areg",
        "predict.areg",
        "print.areg"
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      "page": "aregImpute",
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        "imputation",
        "NA",
        "missing data"
      ],
      "topics": [
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        "plot.aregImpute",
        "print.aregImpute",
        "reformM"
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    },
    {
      "page": "binconf",
      "title": "Confidence Intervals for Binomial Probabilities",
      "topics": [
        "binconf"
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    },
    {
      "page": "biVar",
      "title": "Bivariate Summaries Computed Separately by a Series of Predictors",
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        "chiSquare",
        "plot.biVar",
        "print.biVar",
        "spearman",
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        "spearman2",
        "spearman2.default",
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      "page": "bootkm",
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      "concept": [
        "bootstrap"
      ],
      "topics": [
        "bootkm"
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    },
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      "page": "bpower",
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        "study design"
      ],
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        "bpower",
        "bpower.sim",
        "bsamsize"
      ]
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    {
      "page": "bpplot",
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      "topics": [
        "bpplot"
      ]
    },
    {
      "page": "bystats",
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        "bystats2",
        "latex.bystats",
        "latex.bystats2",
        "print.bystats",
        "print.bystats2"
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    },
    {
      "page": "capitalize",
      "title": "capitalize the first letter of a string",
      "topics": [
        "capitalize"
      ]
    },
    {
      "page": "ciapower",
      "title": "Power of Interaction Test for Exponential Survival",
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        "study design"
      ],
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    },
    {
      "page": "cnvrt.coords",
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    {
      "page": "ggMisc",
      "title": "Miscellaneous ggplot2 and grid Helper Functions",
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        "arrGrob",
        "colorFacet",
        "print.arrGrob"
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    },
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      "title": "combine.levels",
      "topics": [
        "combine.levels"
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    },
    {
      "page": "combplotp",
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      "topics": [
        "combplotp"
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    {
      "page": "completer",
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      "topics": [
        "completer"
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    {
      "page": "consolidate",
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      "topics": [
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        "consolidate.default",
        "consolidate<-"
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    },
    {
      "page": "contents",
      "title": "Metadata for a Data Frame",
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        "html"
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        "contents.list",
        "html.contents.data.frame",
        "print.contents.data.frame",
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    },
    {
      "page": "cpower",
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      "concept": [
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        "study design"
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      "page": "Cs",
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      "topics": [
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        "Cs"
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      "page": "csv.get",
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    },
    {
      "page": "curveRep",
      "title": "Representative Curves",
      "concept": [
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      "page": "dataRep",
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      "page": "deff",
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    {
      "page": "describe",
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        "describe.data.frame",
        "describe.default",
        "describe.formula",
        "describe.matrix",
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        "html.describe.single",
        "latex.describe",
        "latex.describe.single",
        "plot.describe",
        "print.describe",
        "print.describe.single",
        "[.describe"
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    },
    {
      "page": "discrete",
      "title": "Discrete Vector tools",
      "topics": [
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        "as.discrete.default",
        "discrete",
        "is.discrete",
        "is.na<-.discrete",
        "length<-.discrete",
        "[.discrete",
        "[<-.discrete",
        "[[.discrete"
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    },
    {
      "page": "dotchart2",
      "title": "Enhanced Dot Chart",
      "topics": [
        "dotchart2"
      ]
    },
    {
      "page": "dotchart3",
      "title": "Enhanced Version of dotchart Function",
      "topics": [
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        "dotchartp",
        "summaryD",
        "summaryDp"
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    },
    {
      "page": "dotchartpl",
      "title": "Enhanced Version of dotchart Function for plotly",
      "topics": [
        "dotchartpl"
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    },
    {
      "page": "dualSD",
      "title": "Dual Standard Deviations",
      "topics": [
        "dualSD"
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    },
    {
      "page": "ebpcomp",
      "title": "ebpcomp",
      "topics": [
        "ebpcomp"
      ]
    },
    {
      "page": "Ecdf",
      "title": "Empirical Cumulative Distribution Plot",
      "concept": [
        "trellis",
        "lattice"
      ],
      "topics": [
        "Ecdf",
        "Ecdf.data.frame",
        "Ecdf.default",
        "Ecdf.formula",
        "panel.Ecdf",
        "prepanel.Ecdf"
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    },
    {
      "page": "ecdfSteps",
      "title": "ecdfSteps",
      "topics": [
        "ecdfSteps"
      ]
    },
    {
      "page": "equalBins",
      "title": "Multicolumn Formating",
      "topics": [
        "equalBins"
      ]
    },
    {
      "page": "errbar",
      "title": "Plot Error Bars",
      "topics": [
        "errbar"
      ]
    },
    {
      "page": "escapeRegex",
      "title": "Escapes any characters that would have special meaning in a reqular expression.",
      "topics": [
        "escapeBS",
        "escapeRegex"
      ]
    },
    {
      "page": "estSeqMarkovOrd",
      "title": "estSeqMarkovOrd",
      "topics": [
        "estSeqMarkovOrd"
      ]
    },
    {
      "page": "estSeqSim",
      "title": "estSeqSim",
      "topics": [
        "estSeqSim"
      ]
    },
    {
      "page": "event.chart",
      "title": "Flexible Event Chart for Time-to-Event Data",
      "topics": [
        "event.chart"
      ]
    },
    {
      "page": "event.convert",
      "title": "Event Conversion for Time-to-Event Data",
      "topics": [
        "event.convert"
      ]
    },
    {
      "page": "event.history",
      "title": "Produces event.history graph for survival data",
      "topics": [
        "event.history"
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    },
    {
      "page": "extractlabs",
      "title": "extractlabs",
      "topics": [
        "extractlabs"
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    },
    {
      "page": "Fdebug",
      "title": "Debug Printing Function Generator",
      "topics": [
        "Fdebug"
      ]
    },
    {
      "page": "fImport",
      "title": "fImport",
      "topics": [
        "fImport"
      ]
    },
    {
      "page": "find.matches",
      "title": "Find Close Matches",
      "concept": [
        "bootstrap",
        "matching",
        "epidemiology",
        "case-control"
      ],
      "topics": [
        "find.matches",
        "matchCases",
        "print.find.matches",
        "summary.find.matches"
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    },
    {
      "page": "first.word",
      "title": "First Word in a String or Expression",
      "topics": [
        "first.word"
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    },
    {
      "page": "format.df",
      "title": "Format a Data Frame or Matrix for LaTeX or HTML",
      "topics": [
        "format.df"
      ]
    },
    {
      "page": "format.pval",
      "title": "Format P Values",
      "topics": [
        "format.pval"
      ]
    },
    {
      "page": "gbayes",
      "title": "Gaussian Bayesian Posterior and Predictive Distributions",
      "concept": [
        "study design",
        "power"
      ],
      "topics": [
        "gbayes",
        "gbayes1PowerNP",
        "gbayes2",
        "gbayesMixPost",
        "gbayesMixPowerNP",
        "gbayesMixPredNoData",
        "plot.gbayes"
      ]
    },
    {
      "page": "gbayesSeqSim",
      "title": "gbayesSeqSim",
      "topics": [
        "gbayesSeqSim"
      ]
    },
    {
      "page": "geom_stepconfint",
      "title": "Step function confidence intervals for ggplot2",
      "topics": [
        "geom_stepconfint"
      ]
    },
    {
      "page": "getabd",
      "title": "getabd",
      "topics": [
        "getabd"
      ]
    },
    {
      "page": "getHdata",
      "title": "Download and Install Datasets for 'Hmisc', 'rms', and Statistical Modeling",
      "topics": [
        "getHdata"
      ]
    },
    {
      "page": "getRs",
      "title": "Interact with github rscripts Project",
      "topics": [
        "getRs"
      ]
    },
    {
      "page": "getZip",
      "title": "Open a Zip File From a URL",
      "concept": [
        "compressed file"
      ],
      "topics": [
        "getZip"
      ]
    },
    {
      "page": "ggfreqScatter",
      "title": "Frequency Scatterplot",
      "concept": [
        "grouping",
        "categorization",
        "discretization"
      ],
      "topics": [
        "ggfreqScatter"
      ]
    },
    {
      "page": "ggplotlyr",
      "title": "ggplotlyr",
      "topics": [
        "ggplotlyr"
      ]
    },
    {
      "page": "GiniMd",
      "title": "Gini's Mean Difference",
      "topics": [
        "GiniMd"
      ]
    },
    {
      "page": "hashCheck",
      "title": "hashCheck",
      "topics": [
        "hashCheck"
      ]
    },
    {
      "page": "hdquantile",
      "title": "Harrell-Davis Distribution-Free Quantile Estimator",
      "topics": [
        "hdquantile"
      ]
    },
    {
      "page": "hidingTOC",
      "title": "Moving and Hiding Table of Contents",
      "topics": [
        "hidingTOC"
      ]
    },
    {
      "page": "hist.data.frame",
      "title": "Histograms for Variables in a Data Frame",
      "topics": [
        "hist.data.frame"
      ]
    },
    {
      "page": "histbackback",
      "title": "Back to Back Histograms",
      "topics": [
        "histbackback"
      ]
    },
    {
      "page": "histboxp",
      "title": "Use plotly to Draw Stratified Spike Histogram and Box Plot Statistics",
      "topics": [
        "dhistboxp",
        "histboxp",
        "histboxpM"
      ]
    },
    {
      "page": "hlab",
      "title": "hlab",
      "topics": [
        "hlab"
      ]
    },
    {
      "page": "hlabs",
      "title": "hlabs",
      "topics": [
        "hlabs"
      ]
    },
    {
      "page": "Overview",
      "title": "Overview of Hmisc Library",
      "concept": [
        "overview"
      ],
      "topics": [
        "Hmisc.Overview",
        "HmiscOverview"
      ]
    },
    {
      "page": "hoeffd",
      "title": "Matrix of Hoeffding's D Statistics",
      "topics": [
        "hoeffd",
        "print.hoeffd"
      ]
    },
    {
      "page": "html",
      "title": "Convert an S object to HTML",
      "topics": [
        "html",
        "html.data.frame",
        "html.default",
        "html.latex",
        "htmlVerbatim"
      ]
    },
    {
      "page": "htmltabv",
      "title": "htmltabc",
      "topics": [
        "htmltabv"
      ]
    },
    {
      "page": "impute",
      "title": "Generic Functions and Methods for Imputation",
      "topics": [
        "impute",
        "impute.default",
        "is.imputed",
        "print.impute",
        "summary.impute",
        "[.impute"
      ]
    },
    {
      "page": "intMarkovOrd",
      "title": "intMarkovOrd",
      "topics": [
        "intMarkovOrd"
      ]
    },
    {
      "page": "knitrSet",
      "title": "knitr Setup and plotly Service Function",
      "topics": [
        "knitrSet",
        "plotlySave"
      ]
    },
    {
      "page": "labcurve",
      "title": "Label Curves, Make Keys, and Interactively Draw Points and Curves",
      "topics": [
        "bezier",
        "drawPlot",
        "labcurve",
        "largest.empty",
        "plot.drawPlot",
        "putKey",
        "putKeyEmpty"
      ]
    },
    {
      "page": "label",
      "title": "Label Attribute of an Object",
      "topics": [
        "as.data.frame.labelled",
        "combineLabels",
        "data.frame.labelled",
        "Label",
        "label",
        "Label.data.frame",
        "label.data.frame",
        "label.default",
        "label.Surv",
        "label<-",
        "label<-.data.frame",
        "label<-.default",
        "labelLatex",
        "labelPlotmath",
        "llist",
        "plotmathTranslate",
        "print.labelled",
        "prList",
        "putHcap",
        "putHfig",
        "reLabelled",
        "relevel.labelled",
        "[.labelled"
      ]
    },
    {
      "page": "Lag",
      "title": "Lag a Numeric, Character, or Factor Vector",
      "topics": [
        "Lag"
      ]
    },
    {
      "page": "latestFile",
      "title": "latestFile",
      "topics": [
        "latestFile"
      ]
    },
    {
      "page": "latex",
      "title": "Convert an S object to LaTeX, and Related Utilities",
      "topics": [
        "dvi",
        "dvi.latex",
        "dvigv",
        "dvigv.dvi",
        "dvigv.latex",
        "dvips",
        "dvips.dvi",
        "dvips.latex",
        "htmlSN",
        "htmlTranslate",
        "latex",
        "latex.default",
        "latex.function",
        "latex.list",
        "latexSN",
        "latexTranslate",
        "latexVerbatim",
        "print.dvi",
        "print.latex",
        "show.dvi",
        "show.latex"
      ]
    },
    {
      "page": "latexCheckOptions",
      "title": "Check whether the options for latex functions have been specified.",
      "topics": [
        "latexCheckOptions"
      ]
    },
    {
      "page": "latexDotchart",
      "title": "Enhanced Dot Chart for LaTeX Picture Environment with epic",
      "topics": [
        "latexDotchart"
      ]
    },
    {
      "page": "latexTabular",
      "title": "Convert a Data Frame or Matrix to a LaTeX Tabular",
      "topics": [
        "latexTabular"
      ]
    },
    {
      "page": "latexTherm",
      "title": "Create LaTeX Thermometers and Colored Needles",
      "topics": [
        "latexNeedle",
        "latexTherm",
        "pngNeedle"
      ]
    },
    {
      "page": "legendfunctions",
      "title": "Legend Creation Functions",
      "topics": [
        "Key",
        "Key2",
        "legendfunctions",
        "sKey"
      ]
    },
    {
      "page": "list.tree",
      "title": "Pretty-print the Structure of a Data Object",
      "topics": [
        "list.tree"
      ]
    },
    {
      "page": "makeNstr",
      "title": "creates a string that is a repeat of a substring",
      "concept": [
        "string",
        "concat"
      ],
      "topics": [
        "makeNstr"
      ]
    },
    {
      "page": "mApply",
      "title": "Apply a Function to Rows of a Matrix or Vector",
      "concept": [
        "apply for matrix",
        "apply for vector"
      ],
      "topics": [
        "mApply"
      ]
    },
    {
      "page": "mChoice",
      "title": "Methods for Storing and Analyzing Multiple Choice Variables",
      "concept": [
        "multiple choice"
      ],
      "topics": [
        "as.character.mChoice",
        "as.double.mChoice",
        "format.mChoice",
        "inmChoice",
        "inmChoicelike",
        "is.mChoice",
        "match.mChoice",
        "Math.mChoice",
        "mChoice",
        "nmChoice",
        "Ops.mChoice",
        "print.mChoice",
        "print.summary.mChoice",
        "Summary.mChoice",
        "summary.mChoice",
        "[.mChoice"
      ]
    },
    {
      "page": "mdb.get",
      "title": "Read Tables in a Microsoft Access Database",
      "topics": [
        "mdb.get"
      ]
    },
    {
      "page": "meltData",
      "title": "meltData",
      "topics": [
        "meltData"
      ]
    },
    {
      "page": "Merge",
      "title": "Merge Multiple Data Frames or Data Tables",
      "topics": [
        "Merge"
      ]
    },
    {
      "page": "mgp.axis",
      "title": "Draw Axes With Side-Specific mgp Parameters",
      "topics": [
        "mgp.axis",
        "mgp.axis.labels"
      ]
    },
    {
      "page": "epi",
      "title": "Miscellaneous Functions for Epidemiology",
      "concept": [
        "epidemiology"
      ],
      "topics": [
        "lrcum",
        "mhgr",
        "print.lrcum",
        "print.mhgr"
      ]
    },
    {
      "page": "minor.tick",
      "title": "Minor Tick Marks",
      "topics": [
        "minor.tick"
      ]
    },
    {
      "page": "Misc",
      "title": "Miscellaneous Functions",
      "topics": [
        "clowess",
        "confbar",
        "getLatestSource",
        "grType",
        "htmlSpecialType",
        "inverseFunction",
        "james.stein",
        "keepHattrib",
        "km.quick",
        "latexBuild",
        "lm.fit.qr.bare",
        "makeSteps",
        "matxv",
        "nomiss",
        "outerText",
        "plotlyParm",
        "plotp",
        "prType",
        "rendHTML",
        "restoreHattrib",
        "sepUnitsTrans",
        "strgraphwrap",
        "tobase64image",
        "trap.rule",
        "trellis.strip.blank",
        "unPaste",
        "whichClosek",
        "whichClosePW",
        "whichClosest",
        "xless"
      ]
    },
    {
      "page": "movStats",
      "title": "movStats",
      "topics": [
        "movStats"
      ]
    },
    {
      "page": "mtitle",
      "title": "Margin Titles",
      "topics": [
        "mtitle"
      ]
    },
    {
      "page": "multLines",
      "title": "Plot Multiple Lines",
      "topics": [
        "multLines"
      ]
    },
    {
      "page": "na.delete",
      "title": "Row-wise Deletion na.action",
      "topics": [
        "na.delete"
      ]
    },
    {
      "page": "na.detail.response",
      "title": "Detailed Response Variable Information",
      "topics": [
        "na.detail.response"
      ]
    },
    {
      "page": "na.keep",
      "title": "Do-nothing na.action",
      "topics": [
        "na.keep"
      ]
    },
    {
      "page": "nCoincident",
      "title": "nCoincident",
      "topics": [
        "nCoincident"
      ]
    },
    {
      "page": "nobsY",
      "title": "Compute Number of Observations for Left Hand Side of Formula",
      "topics": [
        "nobsY"
      ]
    },
    {
      "page": "nstr",
      "title": "Creates a string of arbitry length",
      "topics": [
        "nstr"
      ]
    },
    {
      "page": "num.intercepts",
      "title": "Extract number of intercepts",
      "topics": [
        "num.intercepts"
      ]
    },
    {
      "page": "ordGroupBoot",
      "title": "Minimally Group an Ordinal Variable So Bootstrap Samples Will Contain All Distinct Values",
      "topics": [
        "ordGroupBoot"
      ]
    },
    {
      "page": "pairUpDiff",
      "title": "pairUpDiff",
      "topics": [
        "pairUpDiff"
      ]
    },
    {
      "page": "panel.bpplot",
      "title": "Box-Percentile Panel Function for Trellis",
      "concept": [
        "trellis",
        "lattice"
      ],
      "topics": [
        "bpplotM",
        "bpplt",
        "bppltp",
        "panel.bpplot"
      ]
    },
    {
      "page": "partition",
      "title": "Patitions an object into different sets",
      "topics": [
        "partition",
        "partition.matrix",
        "partition.vector"
      ]
    },
    {
      "page": "pc1",
      "title": "First Principal Component",
      "topics": [
        "pc1"
      ]
    },
    {
      "page": "plot.princmp",
      "title": "plot.princmp",
      "topics": [
        "plot.princmp"
      ]
    },
    {
      "page": "plotCorrM",
      "title": "plotCorrM",
      "topics": [
        "plotCorrM"
      ]
    },
    {
      "page": "plotCorrPrecision",
      "title": "Plot Precision of Estimate of Pearson Correlation Coefficient",
      "topics": [
        "plotCorrPrecision"
      ]
    },
    {
      "page": "plotlyM",
      "title": "plotly Multiple",
      "topics": [
        "plotlyM"
      ]
    },
    {
      "page": "plsmo",
      "title": "Plot smoothed estimates",
      "concept": [
        "trellis",
        "lattice"
      ],
      "topics": [
        "panel.plsmo",
        "plsmo"
      ]
    },
    {
      "page": "pMedian",
      "title": "pMedian",
      "topics": [
        "pMedian"
      ]
    },
    {
      "page": "popower",
      "title": "Power and Sample Size for Ordinal Response",
      "concept": [
        "power",
        "study design",
        "ordinal logistic model",
        "ordinal response",
        "proportional odds model"
      ],
      "topics": [
        "multEventChart",
        "pomodm",
        "popower",
        "posamsize",
        "print.popower",
        "print.posamsize",
        "propsPO",
        "propsTrans",
        "simPOcuts"
      ]
    },
    {
      "page": "princmp",
      "title": "princmp",
      "topics": [
        "princmp"
      ]
    },
    {
      "page": "print.char.list",
      "title": "prints a list of lists in a visually readable format.",
      "topics": [
        "print.char.list"
      ]
    },
    {
      "page": "print.char.matrix",
      "title": "Function to print a matrix with stacked cells",
      "topics": [
        "print.char.matrix"
      ]
    },
    {
      "page": "print.princmp",
      "title": "print.princmp",
      "topics": [
        "print.princmp"
      ]
    },
    {
      "page": "printL",
      "title": "printL",
      "topics": [
        "printL"
      ]
    },
    {
      "page": "prnz",
      "title": "Print and Object with its Name",
      "topics": [
        "prn"
      ]
    },
    {
      "page": "prselect",
      "title": "Selectively Print Lines of a Text Vector",
      "topics": [
        "prselect"
      ]
    },
    {
      "page": "pstamp",
      "title": "Date/Time/Directory Stamp the Current Plot",
      "topics": [
        "pstamp"
      ]
    },
    {
      "page": "qcrypt",
      "title": "qcrypt",
      "topics": [
        "qcrypt"
      ]
    },
    {
      "page": "qrxcenter",
      "title": "qrxcenter",
      "topics": [
        "qrxcenter"
      ]
    },
    {
      "page": "r2describe",
      "title": "r2describe",
      "topics": [
        "r2describe"
      ]
    },
    {
      "page": "R2Measures",
      "title": "R2Measures",
      "topics": [
        "R2Measures"
      ]
    },
    {
      "page": "rcorr",
      "title": "Matrix of Correlations and P-values",
      "topics": [
        "print.rcorr",
        "rcorr"
      ]
    },
    {
      "page": "rcorr.cens",
      "title": "Rank Correlation for Censored Data",
      "concept": [
        "predictive accuracy",
        "logistic regression model"
      ],
      "topics": [
        "rcorr.cens",
        "rcorrcens",
        "rcorrcens.formula"
      ]
    },
    {
      "page": "rcorrp.cens",
      "title": "Rank Correlation for Paired Predictors with a Possibly Censored Response, and Integrated Discrimination Index",
      "concept": [
        "logistic regression model",
        "predictive accuracy"
      ],
      "topics": [
        "improveProb",
        "print.improveProb",
        "rcorrp.cens"
      ]
    },
    {
      "page": "rcspline.eval",
      "title": "Restricted Cubic Spline Design Matrix",
      "topics": [
        "rcspline.eval"
      ]
    },
    {
      "page": "rcspline.plot",
      "title": "Plot Restricted Cubic Spline Function",
      "topics": [
        "rcspline.plot"
      ]
    },
    {
      "page": "rcspline.restate",
      "title": "Re-state Restricted Cubic Spline Function",
      "topics": [
        "rcspline.restate",
        "rcsplineFunction"
      ]
    },
    {
      "page": "redun",
      "title": "Redundancy Analysis",
      "concept": [
        "data reduction"
      ],
      "topics": [
        "print.redun",
        "redun"
      ]
    },
    {
      "page": "reShape",
      "title": "Reshape Matrices and Serial Data",
      "concept": [
        "trellis",
        "lattice",
        "repeated measures",
        "longitudinal data"
      ],
      "topics": [
        "reShape"
      ]
    },
    {
      "page": "rlegend",
      "title": "Special Version of legend for R",
      "topics": [
        "rlegend",
        "rlegendg"
      ]
    },
    {
      "page": "rm.boot",
      "title": "Bootstrap Repeated Measurements Model",
      "concept": [
        "bootstrap",
        "repeated measures",
        "longitudinal data"
      ],
      "topics": [
        "plot.rm.boot",
        "rm.boot"
      ]
    },
    {
      "page": "rmClose",
      "title": "rmClose",
      "topics": [
        "rmClose"
      ]
    },
    {
      "page": "rMultinom",
      "title": "Generate Multinomial Random Variables with Varying Probabilities",
      "topics": [
        "rMultinom"
      ]
    },
    {
      "page": "runifChanged",
      "title": "runifChanged",
      "topics": [
        "runifChanged"
      ]
    },
    {
      "page": "runParallel",
      "title": "runParallel",
      "topics": [
        "runParallel"
      ]
    },
    {
      "page": "samplesize.bin",
      "title": "Sample Size for 2-sample Binomial",
      "concept": [
        "study design",
        "power"
      ],
      "topics": [
        "samplesize.bin"
      ]
    },
    {
      "page": "unix/sas.get",
      "title": "Convert a SAS Dataset to an S Data Frame",
      "topics": []
    },
    {
      "page": "sasxport.get",
      "title": "Enhanced Importing of SAS Transport Files using read.xport",
      "topics": [
        "sasdsLabels",
        "sasxport.get"
      ]
    },
    {
      "page": "Save",
      "title": "Faciliate Use of save and load to Remote Directories",
      "topics": [
        "Load",
        "Save"
      ]
    },
    {
      "page": "scat1d",
      "title": "One-Dimensional Scatter Diagram, Spike Histogram, or Density",
      "topics": [
        "datadensity",
        "datadensity.data.frame",
        "ecdfpM",
        "histSpike",
        "histSpikeg",
        "jitter2",
        "jitter2.data.frame",
        "jitter2.default",
        "scat1d"
      ]
    },
    {
      "page": "score.binary",
      "title": "Score a Series of Binary Variables",
      "topics": [
        "score.binary"
      ]
    },
    {
      "page": "sedit",
      "title": "Character String Editing and Miscellaneous Character Handling Functions",
      "topics": [
        "all.digits",
        "numeric.string",
        "replace.substring.wild",
        "sedit",
        "substring.location",
        "substring2",
        "substring2<-"
      ]
    },
    {
      "page": "seqFreq",
      "title": "seqFreq",
      "topics": [
        "seqFreq"
      ]
    },
    {
      "page": "show.pch",
      "title": "Display Colors, Plotting Symbols, and Symbol Numeric Equivalents",
      "topics": [
        "character.table",
        "show.col",
        "show.pch"
      ]
    },
    {
      "page": "showPsfrag",
      "title": "Display image from psfrag LaTeX strings",
      "concept": [
        "trellis",
        "lattice"
      ],
      "topics": [
        "showPsfrag"
      ]
    },
    {
      "page": "simMarkovOrd",
      "title": "simMarkovOrd",
      "topics": [
        "simMarkovOrd"
      ]
    },
    {
      "page": "simplifyDims",
      "title": "List Simplification",
      "topics": [
        "simplifyDims"
      ]
    },
    {
      "page": "simRegOrd",
      "title": "Simulate Power for Adjusted Ordinal Regression Two-Sample Test",
      "concept": [
        "power",
        "study design",
        "ordinal logistic model",
        "ordinal response",
        "proportional odds model"
      ],
      "topics": [
        "simRegOrd"
      ]
    },
    {
      "page": "smean.sd",
      "title": "Compute Summary Statistics on a Vector",
      "concept": [
        "bootstrap"
      ],
      "topics": [
        "smean.cl.boot",
        "smean.cl.normal",
        "smean.sd",
        "smean.sdl",
        "smedian.hilow"
      ]
    },
    {
      "page": "solvet",
      "title": "solve Function with tol argument",
      "topics": [
        "solvet"
      ]
    },
    {
      "page": "somers2",
      "title": "Somers' Dxy Rank Correlation",
      "concept": [
        "logistic regression model",
        "predictive accuracy"
      ],
      "topics": [
        "somers2"
      ]
    },
    {
      "page": "soprobMarkovOrd",
      "title": "soprobMarkovOrd",
      "topics": [
        "soprobMarkovOrd"
      ]
    },
    {
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