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  "Package": "merTools",
  "Title": "Tools for Analyzing Mixed Effect Regression Models",
  "Version": "1.0.0",
  "Authors@R": "c(\nperson(c(\"Jared\", \"E.\"), \"Knowles\", email = \"jared@civilytics.com\", role = c(\"aut\", \"cre\")),\nperson(\"Carl\", \"Frederick\", email=\"carlbfrederick@gmail.com\", role = c(\"aut\")),\nperson(\"Alex\", \"Whitworth\", email=\"whitworth.alex@gmail.com\", role = c(\"ctb\")))",
  "Description": "Provides methods for extracting results from mixed-effect\nmodel objects fit with the 'lme4' package. Allows construction\nof prediction intervals efficiently from large scale linear and\ngeneralized linear mixed-effects models. This method draws from\nthe simulation framework used in the Gelman and Hill (2007)\ntextbook: Data Analysis Using Regression and\nMultilevel/Hierarchical Models.",
  "License": "GPL (>=2)",
  "LazyData": "true",
  "VignetteBuilder": "knitr",
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  "Encoding": "UTF-8",
  "URL": "https://jknowles.github.io/merTools/,\nhttps://github.com/jknowles/merTools",
  "BugReports": "https://github.com/jknowles/merTools/issues",
  "Config/testthat/edition": "3",
  "Config/testthat/parallel": "false",
  "Config/pak/sysreqs": "cmake make libicu-dev",
  "Repository": "https://jknowles.r-universe.dev",
  "Date/Publication": "2026-05-30 20:02:58 UTC",
  "RemoteUrl": "https://github.com/jknowles/mertools",
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  "Author": "Jared E. Knowles [aut, cre],\nCarl Frederick [aut],\nAlex Whitworth [ctb]",
  "Maintainer": "Jared E. Knowles <jared@civilytics.com>",
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  "_published": "2026-05-30T21:01:22.985Z",
  "_distro": "noble",
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    "averageObs",
    "bglmerModList",
    "blmerModList",
    "draw",
    "expectedRank",
    "fastdisp",
    "FEsim",
    "findFormFuns",
    "glmerModList",
    "ICC",
    "lmerModList",
    "modelFixedEff",
    "modelInfo",
    "modelRandEffStats",
    "plotFEsim",
    "plotREimpact",
    "plotREsim",
    "predictInterval",
    "randomObs",
    "REcorrExtract",
    "REextract",
    "REimpact",
    "REmargins",
    "REquantile",
    "REsdExtract",
    "REsim",
    "RMSE.merMod",
    "shinyMer",
    "subBoot",
    "superFactor",
    "thetaExtract",
    "wiggle"
  ],
  "_datasets": [
    {
      "name": "hsb",
      "title": "A subset of data from the 1982 High School and Beyond survey used as examples for HLM software",
      "object": "hsb",
      "class": [
        "data.frame"
      ],
      "fields": [
        "schid",
        "minority",
        "female",
        "ses",
        "mathach",
        "size",
        "schtype",
        "meanses"
      ],
      "rows": 7185,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "averageObs",
      "title": "Find the average observation for a merMod object",
      "topics": [
        "averageObs"
      ]
    },
    {
      "page": "collapseFrame",
      "title": "Collapse a dataframe to a single average row",
      "topics": [
        "collapseFrame"
      ]
    },
    {
      "page": "draw",
      "title": "Draw a single observation out of an object matching some criteria",
      "topics": [
        "draw",
        "draw.merMod"
      ]
    },
    {
      "page": "expectedRank",
      "title": "Calculate the expected rank of random coefficients that account for uncertainty.",
      "topics": [
        "expectedRank"
      ]
    },
    {
      "page": "famlink",
      "title": "Find link function family",
      "topics": [
        "famlink"
      ]
    },
    {
      "page": "fastdisp",
      "title": "fastdisp: faster display of model summaries",
      "topics": [
        "fastdisp",
        "fastdisp.merMod",
        "fastdisp.merModList"
      ]
    },
    {
      "page": "FEsim",
      "title": "Simulate fixed effects from merMod 'FEsim' simulates fixed effects from merMod object posterior distributions",
      "topics": [
        "FEsim"
      ]
    },
    {
      "page": "fetch.merMod.msgs",
      "title": "Extract all warning msgs from a merMod object",
      "topics": [
        "fetch.merMod.msgs"
      ]
    },
    {
      "page": "findFormFuns",
      "title": "'findFormFuns' used by averageObs to calculate proper averages",
      "topics": [
        "findFormFuns"
      ]
    },
    {
      "page": "fixef.merModList",
      "title": "Extract fixed-effects estimates for a merModList",
      "topics": [
        "fixef.merModList"
      ]
    },
    {
      "page": "hasWeights",
      "title": "Identify if a merMod has weights",
      "topics": [
        "hasWeights"
      ]
    },
    {
      "page": "hsb",
      "title": "A subset of data from the 1982 High School and Beyond survey used as examples for HLM software",
      "topics": [
        "hsb"
      ]
    },
    {
      "page": "ICC",
      "title": "Calculate the intraclass correlation using mixed effect models",
      "topics": [
        "ICC"
      ]
    },
    {
      "page": "merModList",
      "title": "Apply a multilevel model to a list of data frames",
      "topics": [
        "bglmerModList",
        "blmerModList",
        "glmerModList",
        "lmerModList"
      ]
    },
    {
      "page": "merModList-class",
      "title": "merModList S3 Class",
      "topics": [
        "merModList",
        "merModList-class"
      ]
    },
    {
      "page": "modelFixedEff",
      "title": "Extract averaged fixed effect parameters across a list of merMod objects",
      "topics": [
        "modelFixedEff"
      ]
    },
    {
      "page": "modelInfo",
      "title": "Extract model information from a merMod",
      "topics": [
        "modelInfo"
      ]
    },
    {
      "page": "modelRandEffStats",
      "title": "Extract data.frame of random effect statistics from merMod List",
      "topics": [
        "modelRandEffStats"
      ]
    },
    {
      "page": "plot_sim_error_chks",
      "title": "Extract all warning msgs from a merMod object",
      "topics": [
        "plot_sim_error_chks"
      ]
    },
    {
      "page": "plotFEsim",
      "title": "Plot the results of a simulation of the fixed effects",
      "topics": [
        "plotFEsim"
      ]
    },
    {
      "page": "plotREimpact",
      "title": "Plot the impact of grouping-factor levels on predictions",
      "topics": [
        "plotREimpact"
      ]
    },
    {
      "page": "plotREsim",
      "title": "Plot the results of a simulation of the random effects",
      "topics": [
        "plotREsim"
      ]
    },
    {
      "page": "predictInterval",
      "title": "Predict from merMod objects with a prediction interval",
      "topics": [
        "predictInterval"
      ]
    },
    {
      "page": "print.merModList",
      "title": "Summarize a merMod list",
      "topics": [
        "print.merModList"
      ]
    },
    {
      "page": "print.summary.merModList",
      "title": "Print the summary of a merMod list",
      "topics": [
        "print.summary.merModList"
      ]
    },
    {
      "page": "randomObs",
      "title": "Select a random observation from model data",
      "topics": [
        "randomObs"
      ]
    },
    {
      "page": "ranef.merModList",
      "title": "Extract random-effects estimates for a merModList",
      "topics": [
        "ranef.merModList"
      ]
    },
    {
      "page": "REcorrExtract",
      "title": "Extract the correlations between the slopes and the intercepts from a model",
      "topics": [
        "REcorrExtract"
      ]
    },
    {
      "page": "REextract",
      "title": "Extracts random effects",
      "topics": [
        "REextract"
      ]
    },
    {
      "page": "REimpact",
      "title": "Calculate the weighted mean of fitted values for various levels of random effect terms.",
      "topics": [
        "REimpact"
      ]
    },
    {
      "page": "REmargins",
      "title": "Calculate the predicted value for each observation across the distribution of the random effect terms.",
      "topics": [
        "REmargins"
      ]
    },
    {
      "page": "REquantile",
      "title": "Identify group level associated with RE quantile",
      "topics": [
        "REquantile"
      ]
    },
    {
      "page": "REsdExtract",
      "title": "Extract the standard deviation of the random effects from a merMod object",
      "topics": [
        "REsdExtract"
      ]
    },
    {
      "page": "REsim",
      "title": "Simulate random effects from merMod 'REsim' simulates random effects from merMod object posterior distributions",
      "topics": [
        "REsim"
      ]
    },
    {
      "page": "RMSE.merMod",
      "title": "Estimate the Root Mean Squared Error (RMSE) for a lmerMod",
      "topics": [
        "RMSE.merMod"
      ]
    },
    {
      "page": "sanitizeNames",
      "title": "Clean up variable names in data frames",
      "topics": [
        "sanitizeNames"
      ]
    },
    {
      "page": "setup_parallel",
      "title": "Set up parallel environment",
      "topics": [
        "setup_parallel"
      ]
    },
    {
      "page": "shinyMer",
      "title": "Launch a shiny app to explore your merMod interactively",
      "topics": [
        "shinyMer"
      ]
    },
    {
      "page": "shuffle",
      "title": "Randomly reorder a dataframe",
      "topics": [
        "shuffle"
      ]
    },
    {
      "page": "simulate_random_effects",
      "title": "Simulate random‑effect contributions for all grouping factors",
      "topics": [
        "simulate_random_effects"
      ]
    },
    {
      "page": "stripAttributes",
      "title": "Remove attributes from a data.frame",
      "topics": [
        "stripAttributes"
      ]
    },
    {
      "page": "subBoot",
      "title": "Bootstrap a subset of an lme4 model",
      "topics": [
        "subBoot"
      ]
    },
    {
      "page": "subsetList",
      "title": "Subset a data.frame using a list of conditions",
      "topics": [
        "subsetList"
      ]
    },
    {
      "page": "summary.merModList",
      "title": "Print the results of a merMod list",
      "topics": [
        "summary.merModList"
      ]
    },
    {
      "page": "superFactor",
      "title": "Create a factor with unobserved levels",
      "topics": [
        "superFactor"
      ]
    },
    {
      "page": "thetaExtract",
      "title": "Extract theta parameters from a merMod model",
      "topics": [
        "thetaExtract"
      ]
    },
    {
      "page": "VarCorr.merModList",
      "title": "Extract the variances and correlations for random effects from a merMod list",
      "topics": [
        "VarCorr.merModList"
      ]
    },
    {
      "page": "wiggle",
      "title": "Assign an observation to different values",
      "topics": [
        "wiggle"
      ]
    }
  ],
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  "_vignettes": [
    {
      "source": "merToolsIntro.Rmd",
      "filename": "merToolsIntro.html",
      "title": "An Introduction to merTools",
      "author": "Jared Knowles and Carl Frederick",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Introduction",
        "Illustrating Model Effects",
        "Random Effects",
        "Substantive Effects",
        "Uncertainty"
      ],
      "created": "2015-05-27 17:03:24",
      "modified": "2026-05-30 20:02:50",
      "commits": 22
    },
    {
      "source": "contextual_effects.Rmd",
      "filename": "contextual_effects.html",
      "title": "Exploring Contextual Effects with merTools",
      "author": "Jared Knowles and Carl Frederick",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Contextual effects",
        "The data",
        "A contextual-effects model",
        "Predictions that separate the two effects",
        "How much do schools matter across the rank distribution?",
        "References"
      ],
      "created": "2026-05-29 21:05:47",
      "modified": "2026-05-30 20:02:50",
      "commits": 3
    },
    {
      "source": "imputation.Rmd",
      "filename": "imputation.html",
      "title": "Analyzing Imputed Data with Multilevel Models and merTools",
      "author": "Jared Knowles",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Introduction",
        "Missing Data and its Discontents",
        "Fitting and Summarizing a Model List",
        "Output of a Model List",
        "Specific Model Information Summaries",
        "Diagnostics of List Components",
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      "title": "Prediction Intervals from merMod Objects",
      "author": "Jared Knowles and Carl Frederick",
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      "headings": [
        "Introduction",
        "Conceptual description",
        "Comparison to existing methods",
        "Step 1: Estimating the model and using predictInterval()",
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        "Step 2: Comparison with arm::sim()",
        "Step 3: Comparison with lme4::bootMer()",
        "Step 3a: lme4::bootMer() method 1",
        "Step 3b: lme4::bootMer() method 2",
        "Step 3c: lme4::bootMer() method 3",
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        "Why compare to brms?",
        "A random-slopes model",
        "Point estimates are essentially identical",
        "The prediction intervals agree",
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        "At a fraction of the cost",
        "What about an entirely new group?",
        "A generalized linear mixed model",
        "Takeaways"
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