{
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  "Package": "lqmm",
  "Type": "Package",
  "Title": "Linear Quantile Mixed Models",
  "Version": "1.5.8",
  "Date": "2022-04-05",
  "Author": "Marco Geraci",
  "Maintainer": "Marco Geraci <marco.geraci@uniroma1.it>",
  "Description": "Functions to fit quantile regression models for\nhierarchical data (2-level nested designs) as described in\nGeraci and Bottai (2014, Statistics and Computing)\n<doi:10.1007/s11222-013-9381-9>. A vignette is given in Geraci\n(2014, Journal of Statistical Software)\n<doi:10.18637/jss.v057.i13> and included in the package\ndocuments. The packages also provides functions to fit quantile\nmodels for independent data and for count responses.",
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    "asOneFormula",
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    "boot.lqmm",
    "C_gradientSh",
    "C_gradientSi",
    "C_ll_h",
    "coef.lqm",
    "coef.lqm.counts",
    "coef.lqmm",
    "covHandling",
    "createLaguerre",
    "dal",
    "errorHandling",
    "extractAll",
    "extractBoot",
    "extractBoot.boot.lqmm",
    "F.lqm",
    "gauss.quad",
    "gauss.quad.prob",
    "gradientSi",
    "invTfun",
    "invvarAL",
    "is.positive.definite",
    "logLik.lqm",
    "logLik.lqmm",
    "loglik.s",
    "loglik.t",
    "logliki",
    "lqm",
    "lqm.counts",
    "lqm.fit.gs",
    "lqmControl",
    "lqmm",
    "lqmm.fit.df",
    "lqmm.fit.gs",
    "lqmmControl",
    "make.positive.definite",
    "meanAL",
    "mleAL",
    "pal",
    "permutations",
    "predict.lqm",
    "predict.lqm.counts",
    "predict.lqmm",
    "predint",
    "predint.lqmm",
    "print.lqm",
    "print.lqm.counts",
    "print.lqmm",
    "print.summary.lqm",
    "print.summary.lqmm",
    "qal",
    "quad",
    "ral",
    "ranef",
    "ranef.lqmm",
    "residuals.lqm",
    "residuals.lqm.counts",
    "residuals.lqmm",
    "score.al",
    "summary.boot.lqm",
    "summary.boot.lqmm",
    "summary.lqm",
    "summary.lqmm",
    "switch_check",
    "Tfun",
    "theta.z.dim",
    "varAL",
    "VarCorr",
    "VarCorr.lqmm"
  ],
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      "title": "Labor Pain Data",
      "object": "labor",
      "file": "labor.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "subject",
        "pain",
        "treatment",
        "time"
      ],
      "rows": 358,
      "table": true,
      "tojson": true
    },
    {
      "name": "Orthodont",
      "title": "Growth curve data on an orthdontic measurement",
      "object": "Orthodont",
      "file": "Orthodont.rda",
      "class": [
        "nfnGroupedData",
        "nfGroupedData",
        "groupedData",
        "data.frame"
      ],
      "fields": [
        "distance",
        "age",
        "Subject",
        "Sex"
      ],
      "rows": 108,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "lqmm-package",
      "title": "Linear Quantile Models and Linear Quantile Mixed Models",
      "topics": [
        "lqmm-package"
      ]
    },
    {
      "page": "boot",
      "title": "Bootstrap functions for LQM and LQMM",
      "topics": [
        "boot",
        "boot.lqm",
        "boot.lqmm"
      ]
    },
    {
      "page": "coef.lqm",
      "title": "Extract LQM Coefficients",
      "topics": [
        "coef.lqm",
        "coef.lqm.counts"
      ]
    },
    {
      "page": "coef.lqmm",
      "title": "Extract LQMM Coefficients",
      "topics": [
        "coef.lqmm"
      ]
    },
    {
      "page": "covHandling",
      "title": "Variance-Covariance Matrix",
      "topics": [
        "covHandling"
      ]
    },
    {
      "page": "dal",
      "title": "The Asymmetric Laplace Distribution",
      "topics": [
        "dal",
        "pal",
        "qal",
        "ral"
      ]
    },
    {
      "page": "extractBoot",
      "title": "Extract Fixed and Random Bootstrapped Parameters",
      "topics": [
        "extractBoot",
        "extractBoot.boot.lqmm"
      ]
    },
    {
      "page": "gauss.quad",
      "title": "Gaussian Quadrature",
      "topics": [
        "gauss.quad"
      ]
    },
    {
      "page": "gauss.quad.prob",
      "title": "Gaussian Quadrature",
      "topics": [
        "gauss.quad.prob"
      ]
    },
    {
      "page": "is.positive.definite",
      "title": "Test for Positive Definiteness",
      "topics": [
        "is.positive.definite"
      ]
    },
    {
      "page": "labor",
      "title": "Labor Pain Data",
      "topics": [
        "labor"
      ]
    },
    {
      "page": "logLik.lqm",
      "title": "Extract Log-Likelihood",
      "topics": [
        "logLik.lqm"
      ]
    },
    {
      "page": "logLik.lqmm",
      "title": "Extract Log-Likelihood",
      "topics": [
        "logLik.lqmm"
      ]
    },
    {
      "page": "lqm",
      "title": "Fitting Linear Quantile Models",
      "topics": [
        "lqm"
      ]
    },
    {
      "page": "lqm.counts",
      "title": "Quantile Regression for Counts",
      "topics": [
        "lqm.counts"
      ]
    },
    {
      "page": "lqm.fit.gs",
      "title": "Quantile Regression Fitting by Gradient Search",
      "topics": [
        "lqm.fit.gs"
      ]
    },
    {
      "page": "lqmControl",
      "title": "Control parameters for lqm estimation",
      "topics": [
        "lqmControl"
      ]
    },
    {
      "page": "lqmm",
      "title": "Fitting Linear Quantile Mixed Models",
      "topics": [
        "lqmm"
      ]
    },
    {
      "page": "lqmm.fit.df",
      "title": "Linear Quantile Mixed Models Fitting by Derivative-Free Optimization",
      "topics": [
        "lqmm.fit.df"
      ]
    },
    {
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      "title": "Linear Quantile Mixed Models Fitting by Gradient Search",
      "topics": [
        "lqmm.fit.gs"
      ]
    },
    {
      "page": "lqmmControl",
      "title": "Control parameters for lqmm estimation",
      "topics": [
        "lqmmControl"
      ]
    },
    {
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      "title": "Compute Nearest Positive Definite Matrix",
      "topics": [
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      ]
    },
    {
      "page": "meanAL",
      "title": "Functions for Asymmetric Laplace Distribution Parameters",
      "topics": [
        "invvarAL",
        "meanAL",
        "varAL"
      ]
    },
    {
      "page": "mleAL",
      "title": "Maximum Likelihood Estimation of Asymmetric Laplace Distribution",
      "topics": [
        "mleAL"
      ]
    },
    {
      "page": "Orthodont",
      "title": "Growth curve data on an orthdontic measurement",
      "topics": [
        "Orthodont"
      ]
    },
    {
      "page": "predict.lqm",
      "title": "Predictions from LQM Objects",
      "topics": [
        "predict.lqm",
        "predict.lqm.counts"
      ]
    },
    {
      "page": "predict.lqmm",
      "title": "Predictions from an 'lqmm' Object",
      "topics": [
        "predict.lqmm",
        "predint",
        "predint.lqmm"
      ]
    },
    {
      "page": "print.lqm",
      "title": "Print LQM Objects",
      "topics": [
        "print.lqm",
        "print.lqm.counts"
      ]
    },
    {
      "page": "print.lqmm",
      "title": "Print an 'lqmm' Object",
      "topics": [
        "print.lqmm"
      ]
    },
    {
      "page": "print.summary.lqm",
      "title": "Print an 'lqm' Summary Object",
      "topics": [
        "print.summary.lqm"
      ]
    },
    {
      "page": "print.summary.lqmm",
      "title": "Print an 'lqmm' Summary Object",
      "topics": [
        "print.summary.lqmm"
      ]
    },
    {
      "page": "ranef",
      "title": "Extract Random Effects",
      "topics": [
        "ranef",
        "ranef.lqmm"
      ]
    },
    {
      "page": "residuals.lqm",
      "title": "Residuals from an LQM Objects",
      "topics": [
        "residuals.lqm",
        "residuals.lqm.counts"
      ]
    },
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      "page": "residuals.lqmm",
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      "topics": [
        "residuals.lqmm"
      ]
    },
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      "title": "Summary for a 'boot.lqm' Object",
      "topics": [
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    },
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