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  "Package": "betaARMA",
  "Title": "Beta Autoregressive Moving Average Models",
  "Version": "1.2.0",
  "Date": "2026-04-22",
  "Authors@R": "c(\nperson(given = \"Everton\",\nfamily = \"da Costa\",\nemail = \"everto.cost@gmail.com\",\nrole = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0001-7580-2639\")),\nperson(given = \"Francisco\",\nfamily = \"Cribari-Neto\",\nemail = \"francisco.cribari@ufpe.br\",\nrole = c(\"ctb\", \"ths\"),\ncomment = c(ORCID = \"0000-0002-5909-6698\", \"Theoretical foundations\")),\nperson(given = \"Vinicius\",\nfamily = \"Scher\",\nrole = \"ctb\",\ncomment = c(ORCID = \"0000-0003-0406-0265\"))\n)",
  "Description": "Fits Beta Autoregressive Moving Average (BARMA) models for\ntime series data distributed in the standard unit interval (0,\n1). The estimation is performed via the conditional maximum\nlikelihood method using the Broyden-Fletcher-Goldfarb-Shanno\n(BFGS) quasi-Newton algorithm. A ridge penalization scheme is\navailable to improve numerical stability of the estimation, as\nproposed by Cribari-Neto, Costa and Fonseca (2025)\n<doi:10.1214/25-BJPS645>. The package includes tools for model\nfitting, diagnostic checking, and forecasting, along with two\nhydro-environmental datasets from Brazil. Based on the work of\nRocha and Cribari-Neto (2009) <doi:10.1007/s11749-008-0112-z>\nand the associated erratum Rocha and Cribari-Neto (2017)\n<doi:10.1007/s11749-017-0528-4>. The original code was\ndeveloped by Fabio M. Bayer.",
  "License": "MIT + file LICENSE",
  "URL": "https://github.com/Everton-da-Costa/betaARMA",
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  "Date/Publication": "2026-05-23 17:10:42 UTC",
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      "title": "Fit Beta Autoregressive Moving Average (BARMA) Models via Conditional Maximum Likelihood",
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      ]
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    {
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      "title": "Monthly relative humidity in Brasília (data frame)",
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    {
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