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  "Package": "mvabund",
  "Title": "Statistical Methods for Analysing Multivariate Abundance Data",
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  "Date": "2023-10-10",
  "Authors@R": "c(person(\"Yi\", \"Wang\", role = \"aut\"),\nperson(\"Ulrike\", \"Naumann\", role = \"aut\"),\nperson(\"Dirk\", \"Eddelbuettel\", role = \"aut\"),\nperson(\"John\", \"Wilshire\", role = \"aut\"),\nperson(\"David\", \"Warton\", role = c(\"aut\", \"cre\"),\nemail = \"David.Warton@unsw.edu.au\"),\nperson(\"Julian\", \"Byrnes\", role = \"ctb\"),\nperson(\"Ralph\", \"dos Santos Silva\", role = c(\"ctb\",\"cph\")),\nperson(\"Jenni\", \"Niku\", role = \"ctb\"),\nperson(\"Ian\", \"Renner\", role = \"ctb\"),\nperson(\"Stephen\", \"Wright\", role = \"ctb\"))",
  "Description": "A set of tools for displaying, modeling and analysing\nmultivariate abundance data in community ecology. See\n'mvabund-package.Rd' for details of overall package\norganization. The package is implemented with the Gnu\nScientific Library (<http://www.gnu.org/software/gsl/>) and\n'Rcpp' (<http://dirk.eddelbuettel.com/code/rcpp.html>) 'R' /\n'C++' classes.",
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  "Date/Publication": "2024-03-10 22:57:05 UTC",
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  "Author": "Yi Wang [aut],\nUlrike Naumann [aut],\nDirk Eddelbuettel [aut],\nJohn Wilshire [aut],\nDavid Warton [aut, cre],\nJulian Byrnes [ctb],\nRalph dos Santos Silva [ctb, cph],\nJenni Niku [ctb],\nIan Renner [ctb],\nStephen Wright [ctb]",
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    "boxplot.mvabund",
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    "ridgeParamEst",
    "shiftpoints",
    "summary.manyglm",
    "summary.manylm",
    "traitglm",
    "unabund"
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      "object": "antTraits",
      "class": [
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      ],
      "fields": [],
      "table": false,
      "tojson": true
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      "class": [
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      "fields": [],
      "table": false,
      "tojson": true
    },
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      "class": [
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      "fields": [],
      "table": false,
      "tojson": true
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      "class": [
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      ],
      "fields": [],
      "table": false,
      "tojson": true
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      "object": "tikus",
      "class": [
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      ],
      "fields": [],
      "table": false,
      "tojson": true
    }
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    {
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      "title": "Statistical methods for analysing multivariate abundance data",
      "topics": [
        "mvabund-package"
      ]
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      "title": "Analysis of Deviance for Many Univariate Models Fitted to Multivariate Abundance Data",
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        "print.anova.manyany"
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      "title": "Analysis of Deviance for Multivariate Generalized Linear Model Fits for Abundance Data",
      "topics": [
        "anova.manyglm",
        "print.anova.manyglm"
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      "title": "ANOVA for Linear Model Fits for Multivariate Abundance Data",
      "topics": [
        "anova.manylm",
        "print.anova.manylm"
      ]
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      "title": "Testing for a environment-by-trait (fourth corner) interaction by analysis of deviance",
      "topics": [
        "anova.traitglm"
      ]
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    {
      "page": "antTraits",
      "title": "Ant data, with species traits",
      "topics": [
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      "page": "best.r.sq",
      "title": "Use R^2 to find the variables that best explain a multivariate response.",
      "topics": [
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      "title": "Boxplots for multivariate abundance Data",
      "topics": [
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        "boxplot.mvformula"
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      "topics": [
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      "topics": [
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      "title": "Model Deviance",
      "topics": [
        "deviance.manylm"
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      "title": "Extend a Formula to all of it's Terms",
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      "page": "formulaUnimva",
      "title": "Create a List of Univariate Formulas",
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        "formulaUnimva"
      ]
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      "page": "glm1",
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        "glm1"
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      "topics": [
        "glm1path"
      ]
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      "page": "logLik.manylm",
      "title": "Calculate the Log Likelihood",
      "topics": [
        "logLik.manylm"
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      "page": "manyany",
      "title": "Fitting Many Univariate Models to Multivariate Abundance Data",
      "topics": [
        "manyany",
        "print.manyany"
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      "page": "manyglm",
      "title": "Fitting Generalized Linear Models for Multivariate Abundance Data",
      "topics": [
        "manyglm"
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    {
      "page": "manylm",
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        "manylm"
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      "page": "manylm.fit",
      "title": "workhose functions for fitting multivariate linear models",
      "topics": [
        "manylm.fit",
        "manylm.wfit"
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      "page": "meanvar.plot",
      "title": "Construct Mean-Variance plots for Multivariate Abundance Data",
      "topics": [
        "meanvar.plot",
        "meanvar.plot,data.frame-method",
        "meanvar.plot,formula-method",
        "meanvar.plot,matrix-method",
        "meanvar.plot,mvabund-method",
        "meanvar.plot,mvformula-method",
        "meanvar.plot.mvabund",
        "meanvar.plot.mvformula"
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    {
      "page": "mvabund",
      "title": "Multivariate Abundance Data Objects",
      "topics": [
        "as.mvabund",
        "is.mvabund",
        "mvabund",
        "mvabund-class"
      ]
    },
    {
      "page": "mvformula",
      "title": "Model Formulae for Multivariate Abundance Data",
      "topics": [
        "as.mvformula",
        "is.mvformula",
        "mvformula",
        "mvformula-class"
      ]
    },
    {
      "page": "plot.manyany",
      "title": "Plot Diagnostics for a manyany or glm1path Object",
      "topics": [
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        "plot.manyany"
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    {
      "page": "plot.manylm",
      "title": "Plot Diagnostics for a manylm or a manyglm Object",
      "topics": [
        "plot.manyglm",
        "plot.manylm"
      ]
    },
    {
      "page": "plot.mvabund",
      "title": "Plot Multivariate Abundance Data and Formulae",
      "topics": [
        "plot.mvabund",
        "plot.mvformula"
      ]
    },
    {
      "page": "plotMvaFactor",
      "title": "Draw a Mvabund Object split into groups.",
      "topics": [
        "plotMvaFactor"
      ]
    },
    {
      "page": "predict.manyglm",
      "title": "Predict Method for MANYGLM Fits",
      "topics": [
        "predict.manyglm"
      ]
    },
    {
      "page": "predict.manylm",
      "title": "Model Predictions for Multivariate Linear Models",
      "topics": [
        "predict.manylm"
      ]
    },
    {
      "page": "predict.traitglm",
      "title": "Predictions from fourth corner model fits",
      "topics": [
        "predict.traitglm"
      ]
    },
    {
      "page": "residuals.manyglm",
      "title": "Residuals for MANYGLM, MANYANY, GLM1PATH Fits",
      "topics": [
        "residuals.glm1path",
        "residuals.manyany",
        "residuals.manyglm"
      ]
    },
    {
      "page": "ridgeParamEst",
      "title": "Estimation of the ridge parameter",
      "topics": [
        "ridgeParamEst"
      ]
    },
    {
      "page": "shiftpoints",
      "title": "Calculate a shift for plotting overlapping points",
      "topics": [
        "shiftpoints"
      ]
    },
    {
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