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  "Title": "Trend Estimation of Univariate and Bivariate Time Series with\nControlled Smoothness",
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  "Authors@R": "c(\nperson(\"L. Leticia\", \"Ramirez-Ramirez\", email = \"leticia.ramirez@cimat.mx\", role = c(\"aut\", \"cre\")),\nperson(\"Alejandro\", \"Islas-Camargo\", email = \"\", role = \"aut\"),\nperson(\"Victor M.\", \"Guerrero\", email = \"\", role = \"aut\"))",
  "Description": "It performs the smoothing approach provided by penalized\nleast squares for univariate and bivariate time series, as\nproposed by Guerrero (2007) and Gerrero et al. (2017). This\nallows to estimate the time series trend by controlling the\namount of resulting (joint) smoothness. --- Guerrero, V.M\n(2007) <DOI:10.1016/j.spl.2007.03.006>. Guerrero, V.M;\nIslas-Camargo, A. and Ramirez-Ramirez, L.L. (2017)\n<DOI:10.1080/03610926.2015.1133826>.",
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  "Packaged": {
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  "Author": "L. Leticia Ramirez-Ramirez [aut, cre], Alejandro Islas-Camargo\n[aut], Victor M. Guerrero [aut]",
  "Maintainer": "L. Leticia Ramirez-Ramirez <leticia.ramirez@cimat.mx>",
  "Repository": "https://leticiaram.r-universe.dev",
  "Date/Publication": "2019-07-15 09:50:03 UTC",
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    },
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    },
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    },
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