{
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  "Package": "SNSequate",
  "Version": "1.3-5",
  "Date": "2024-04-15",
  "Title": "Standard and Nonstandard Statistical Models and Methods for Test\nEquating",
  "Authors@R": "c(\nperson(\"Jorge\", \"Gonzalez\", email = \"jorge.gonzalez@mat.uc.cl\", role = c(\"cre\",\"aut\")),\nperson(\"Daniel\", \"Leon Acuna\", email = \"dnacuna@uc.cl\", role = \"ctb\"))",
  "Author": "Jorge Gonzalez [cre, aut], Daniel Leon Acuna [ctb]",
  "Maintainer": "Jorge Gonzalez <jorge.gonzalez@mat.uc.cl>",
  "Description": "Contains functions to perform various models and methods\nfor test equating (Kolen and Brennan, 2014\n<doi:10.1007/978-1-4939-0317-7> ; Gonzalez and Wiberg, 2017\n<doi:10.1007/978-3-319-51824-4> ; von Davier et. al, 2004\n<doi:10.1007/b97446>). It currently implements the traditional\nmean, linear and equipercentile equating methods. Both IRT\nobserved-score and true-score equating are also supported, as\nwell as the mean-mean, mean-sigma, Haebara and Stocking-Lord\nIRT linking methods. It also supports newest methods such that\nlocal equating, kernel equating (using Gaussian, logistic,\nEpanechnikov, uniform and adaptive kernels) with presmoothing,\nand IRT parameter linking methods based on asymmetric item\ncharacteristic functions. Functions to obtain both standard\nerror of equating (SEE) and standard error of equating\ndifferences between two equating functions (SEED) are also\nimplemented for the kernel method of equating.",
  "License": "GPL (>= 2)",
  "URL": "https://www.mat.uc.cl/~jorge.gonzalez/",
  "NeedsCompilation": "no",
  "Packaged": {
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  "Date/Publication": "2024-04-23 02:35:27 UTC",
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        "SNSequate"
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