{
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  "Package": "restriktor",
  "Title": "Restricted Statistical Estimation and Inference for Linear\nModels",
  "Version": "0.6-30",
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  "Description": "Allow for easy-to-use testing or evaluating of linear\nequality and inequality restrictions about parameters and\neffects in (generalized) linear statistical models.",
  "License": "GPL (>= 2)",
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  "URL": "https://restriktor.org",
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  "Author": "Leonard Vanbrabant [aut, cre], Rebecca Kuiper [aut], Yves\nRosseel [ctb], Aleksandra Dacko [ctb]",
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  "_exports": [
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    "benchmark_asymp",
    "benchmark_means",
    "bootstrapD",
    "calc_ICweights",
    "calculate_IC_weights",
    "coef.con_goric",
    "coef.restriktor",
    "con_weights_boot",
    "conGLM.glm",
    "conLM.lm",
    "conMLM.mlm",
    "conRLM.rlm",
    "conTest",
    "conTest_ceq",
    "conTest_ceq.conGLM",
    "conTest_ceq.conLM",
    "conTest_ceq.conRLM",
    "conTest_summary",
    "conTest_summary.restriktor",
    "conTestC",
    "conTestC.restriktor",
    "conTestD",
    "conTestF.conGLM",
    "conTestF.conLM",
    "conTestF.conRLM",
    "conTestLRT.conGLM",
    "conTestLRT.conLM",
    "conTestLRT.conMLM",
    "conTestScore.conGLM",
    "conTestScore.conLM",
    "conTestScore.conRLM",
    "conTestWald.conRLM",
    "evSyn",
    "goric",
    "goric.lavaan",
    "iht",
    "logLik.restriktor",
    "model.matrix.restriktor",
    "plot.evSyn",
    "print.goric_ICw",
    "restriktor",
    "summary.restriktor"
  ],
  "_datasets": [
    {
      "name": "AngerManagement",
      "title": "Reduction of aggression levels Dataset (4 treatment groups)",
      "object": "AngerManagement",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Anger",
        "Group",
        "Age"
      ],
      "rows": 40,
      "table": true,
      "tojson": true
    },
    {
      "name": "Burns",
      "title": "Relation between the response variable PTSS and gender, age, TBSA, guilt and anger.",
      "object": "Burns",
      "class": [
        "data.frame"
      ],
      "fields": [
        "PTSS",
        "TBSA",
        "guilt",
        "anger",
        "gender",
        "age"
      ],
      "rows": 278,
      "table": true,
      "tojson": true
    },
    {
      "name": "Exam",
      "title": "Relation between exam scores and study hours, anxiety scores and average point scores.",
      "object": "Exam",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Scores",
        "Hours",
        "Anxiety",
        "APS"
      ],
      "rows": 20,
      "table": true,
      "tojson": true
    },
    {
      "name": "FacialBurns",
      "title": "Dataset for illustrating the conTest_conLavaan function.",
      "object": "FacialBurns",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Selfesteem",
        "HADS",
        "Age",
        "TBSA",
        "RUM",
        "Sex"
      ],
      "rows": 77,
      "table": true,
      "tojson": true
    },
    {
      "name": "Hurricanes",
      "title": "The Hurricanes Dataset",
      "object": "Hurricanes",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Year",
        "Hurricanes",
        "ElNino"
      ],
      "rows": 46,
      "table": true,
      "tojson": true
    },
    {
      "name": "Kuiper2012estimates",
      "title": "Estimates and standard errors from four studies on past experience and buyer trust",
      "object": "Kuiper2012estimates",
      "class": [
        "data.frame"
      ],
      "fields": [
        "study",
        "year",
        "estimate",
        "se"
      ],
      "rows": 4,
      "table": true,
      "tojson": true
    },
    {
      "name": "myGORICs",
      "title": "An example of IC values",
      "object": "myGORICs",
      "class": [
        "matrix",
        "array"
      ],
      "fields": [
        "H0",
        "Hpos",
        "Hneg"
      ],
      "rows": 4,
      "table": true,
      "tojson": true
    },
    {
      "name": "myLLs",
      "title": "An example of log-likelihood (LL) values",
      "object": "myLLs",
      "class": [
        "matrix",
        "array"
      ],
      "fields": [
        "H0",
        "Hpos",
        "Hneg"
      ],
      "rows": 4,
      "table": true,
      "tojson": true
    },
    {
      "name": "myPTs",
      "title": "An example of penalty (PT) values",
      "object": "myPTs",
      "class": [
        "matrix",
        "array"
      ],
      "fields": [
        "H0",
        "Hpos",
        "Hneg"
      ],
      "rows": 4,
      "table": true,
      "tojson": true
    },
    {
      "name": "ZelazoKolb1972",
      "title": "\"Walking\" in the newborn (4 treatment groups)",
      "object": "ZelazoKolb1972",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Age",
        "Group"
      ],
      "rows": 24,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "restriktor-package",
      "title": "Package for equality and inequality restricted estimation, model selection and hypothesis testing",
      "topics": [
        "restriktor-package"
      ]
    },
    {
      "page": "AngerManagement",
      "title": "Reduction of aggression levels Dataset (4 treatment groups)",
      "topics": [
        "AngerManagement"
      ]
    },
    {
      "page": "goric_benchmark",
      "title": "Benchmark Functions for GORIC(A) Analysis",
      "topics": [
        "benchmark",
        "benchmark_asymp",
        "benchmark_means",
        "plot.benchmark",
        "print.benchmark"
      ]
    },
    {
      "page": "bootstrapD",
      "title": "Bootstrapping a Lavaan Model",
      "topics": [
        "bootstrapD",
        "print.conTestLavaan"
      ]
    },
    {
      "page": "Burns",
      "title": "Relation between the response variable PTSS and gender, age, TBSA, guilt and anger.",
      "topics": [
        "Burns"
      ]
    },
    {
      "page": "calculate_IC_weights",
      "title": "Calculating IC weights based on IC values (AIC, ORIC, GORIC(A), BIC, SIC, ...)",
      "topics": [
        "calculate_IC_weights",
        "calc_ICweights",
        "IC_weights",
        "print.goric_ICw"
      ]
    },
    {
      "page": "chi_bar_square_weights",
      "title": "function for computing the chi-bar-square weights based on Monte Carlo simulation.",
      "topics": [
        "con_weights_boot"
      ]
    },
    {
      "page": "conTest_ceq",
      "title": "Tests for iht with equality constraints only",
      "topics": [
        "conTest_ceq",
        "conTest_ceq.conGLM",
        "conTest_ceq.conLM",
        "conTest_ceq.conRLM"
      ]
    },
    {
      "page": "conTest_summary",
      "title": "function for computing all available hypothesis tests",
      "topics": [
        "conTest_summary",
        "conTest_summary.restriktor",
        "iht_summary"
      ]
    },
    {
      "page": "conTestC",
      "title": "one-sided t-test for iht",
      "topics": [
        "conTestC",
        "conTestC.restriktor"
      ]
    },
    {
      "page": "conTestF",
      "title": "F-bar test for iht",
      "topics": [
        "conTestF",
        "conTestF.conGLM",
        "conTestF.conLM",
        "conTestF.conRLM"
      ]
    },
    {
      "page": "conTestLRT",
      "title": "Likelihood-ratio-bar test for iht",
      "topics": [
        "conTestLRT",
        "conTestLRT.conGLM",
        "conTestLRT.conLM",
        "conTestLRT.conMLM"
      ]
    },
    {
      "page": "conTestScore",
      "title": "Score-bar test for iht",
      "topics": [
        "conTestScore",
        "conTestScore.conGLM",
        "conTestScore.conLM",
        "conTestScore.conRLM"
      ]
    },
    {
      "page": "conTestWald",
      "title": "Wald-bar test for robust iht",
      "topics": [
        "conTestWald",
        "conTestWald.conRLM"
      ]
    },
    {
      "page": "evSyn",
      "title": "GORIC(A) Evidence synthesis",
      "topics": [
        "evSyn",
        "evsyn",
        "evSyn_escalc",
        "evSyn_est",
        "evSyn_gorica",
        "evSyn_ICratios",
        "evSyn_ICvalues",
        "evSyn_ICweights",
        "evSyn_LL",
        "plot.evSyn",
        "print.evSyn",
        "print.summary.evSyn",
        "summary.evSyn"
      ]
    },
    {
      "page": "Exam",
      "title": "Relation between exam scores and study hours, anxiety scores and average point scores.",
      "topics": [
        "Exam"
      ]
    },
    {
      "page": "FacialBurns",
      "title": "Dataset for illustrating the conTest_conLavaan function.",
      "topics": [
        "FacialBurns"
      ]
    },
    {
      "page": "goric",
      "title": "Generalized Order-Restricted Information Criterion (Approximation) Weights",
      "topics": [
        "coef.con_goric",
        "goric",
        "goric.CTmeta",
        "goric.default",
        "goric.lavaan",
        "goric.lm",
        "goric.numeric",
        "goric.rma",
        "print.con_goric",
        "summary.con_goric"
      ]
    },
    {
      "page": "Hurricanes",
      "title": "The Hurricanes Dataset",
      "topics": [
        "Hurricanes"
      ]
    },
    {
      "page": "iht",
      "title": "function for informative hypothesis testing (iht)",
      "topics": [
        "conTest",
        "contest",
        "conTestD",
        "contestD",
        "iht"
      ]
    },
    {
      "page": "conTest_methods",
      "title": "Methods for iht",
      "topics": [
        "conTest-methods",
        "iht-methods",
        "print.conTest"
      ]
    },
    {
      "page": "Kuiper2012estimates",
      "title": "Estimates and standard errors from four studies on past experience and buyer trust",
      "topics": [
        "Kuiper2012estimates"
      ]
    },
    {
      "page": "myGORICs",
      "title": "An example of IC values",
      "topics": [
        "myGORICs"
      ]
    },
    {
      "page": "myLLs",
      "title": "An example of log-likelihood (LL) values",
      "topics": [
        "myLLs"
      ]
    },
    {
      "page": "myPTs",
      "title": "An example of penalty (PT) values",
      "topics": [
        "myPTs"
      ]
    },
    {
      "page": "restriktor",
      "title": "Estimating linear regression models with (in)equality restrictions",
      "topics": [
        "conGLM.glm",
        "conLM.lm",
        "conMLM.mlm",
        "conRLM.rlm",
        "restriktor"
      ]
    },
    {
      "page": "restriktor_methods",
      "title": "Methods for restriktor",
      "topics": [
        "coef.restriktor",
        "logLik.restriktor",
        "model.matrix.restriktor",
        "print.restriktor",
        "print.summary.restriktor",
        "restriktor-methods",
        "summary.restriktor"
      ]
    },
    {
      "page": "ZelazoKolb1972",
      "title": "\"Walking\" in the newborn (4 treatment groups)",
      "topics": [
        "ZelazoKolb1972"
      ]
    }
  ],
  "_readme": "https://github.com/cran/restriktor/raw/HEAD/README.md",
  "_rundeps": [
    "boot",
    "cli",
    "codetools",
    "cpp11",
    "digest",
    "farver",
    "future",
    "future.apply",
    "ggplot2",
    "globals",
    "glue",
    "gmm",
    "gridExtra",
    "gtable",
    "isoband",
    "labeling",
    "lattice",
    "lavaan",
    "lifecycle",
    "listenv",
    "MASS",
    "Matrix",
    "mnormt",
    "mvtnorm",
    "norm",
    "numDeriv",
    "parallelly",
    "pbivnorm",
    "progressr",
    "quadprog",
    "R6",
    "RColorBrewer",
    "rlang",
    "S7",
    "sandwich",
    "scales",
    "tmvtnorm",
    "vctrs",
    "viridisLite",
    "withr",
    "zoo"
  ],
  "_vignettes": [
    {
      "source": "Guidelines_GORIC_output.Rmd",
      "filename": "Guidelines_GORIC_output.html",
      "title": "Guidelines for Interpreting GORIC(A) Output",
      "author": "Rebecca M. Kuiper, Leonard Vanbrabant",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Goal GORIC(A)",
        "GORIC(A) output",
        "GORIC(A) values",
        "GORIC(A) weights and ratios",
        "Hypotheses sets",
        "Interpretation output",
        "General",
        "One informative hypothesis",
        "vs Complement",
        "Example",
        "vs Unconstrained",
        "Multiple informative hypotheses",
        "Complement as failsafe",
        "Unconstrained as failsafe",
        "No failsafe",
        "Note: Hypothesis specification",
        "Special cases",
        "Equal fit",
        "Overlapping hypotheses",
        "Example: Subset true",
        "Example: Non-overlapping part true",
        "Follow-up exploratory analysis for non-overlapping part",
        "Support for boundary",
        "Example: $H_1$ versus its complement",
        "Follow-up exploratory analysis for boundary",
        "Example: $H_1$, $H_2$, and the unconstrained",
        "Notes",
        "Just below maxmimum fit",
        "Equality restriction (=)",
        "About-equality restrictions",
        "Not highest fit",
        "Example: Correct hypothesis",
        "Example: Incorrect hypothesis",
        "Note on sample size",
        "Remarks Bayesian model selection",
        "Example: Prior sensitivity bain",
        "Example: Support for incorrect equality",
        "N = 100",
        "N = 1000",
        "bain",
        "GORIC",
        "N = 10000"
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