{
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  "Package": "ssym",
  "Type": "Package",
  "Title": "Fitting Semi-Parametric log-Symmetric Regression Models",
  "Version": "1.5.8",
  "Date": "2023-04-21",
  "Encoding": "UTF-8",
  "Author": "Luis Hernando Vanegas <hvanegasp@gmail.com> and Gilberto A.\nPaula",
  "Maintainer": "Luis Hernando Vanegas <hvanegasp@gmail.com>",
  "Description": "Set of tools to fit a semi-parametric regression model\nsuitable for analysis of data sets in which the response\nvariable is continuous, strictly positive, asymmetric and\npossibly, censored. Under this setup, both the median and the\nskewness of the response variable distribution are explicitly\nmodeled by using semi-parametric functions, whose\nnon-parametric components may be approximated by natural cubic\nsplines or P-splines. Supported distributions for the model\nerror include log-normal, log-Student-t, log-power-exponential,\nlog-hyperbolic, log-contaminated-normal, log-slash,\nBirnbaum-Saunders and Birnbaum-Saunders-t distributions.",
  "License": "GPL-2 | GPL-3",
  "Packaged": {
    "Date": "2026-06-03 10:42:33 UTC",
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  "RoxygenNote": "7.2.3",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2023-04-21 23:50:12 UTC",
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