{
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  "Title": "Additive Partial Linear Models with Symmetric Autoregressive\nErrors",
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  "Authors@R": "c(\nperson(\"Shu Wei\", \"Chou-Chen\", email = \"shuwei.chou@ucr.ac.cr\", role = c(\"aut\", \"cre\", \"cph\"), comment = c(ORCID = \"0000-0001-5495-2486\")),\nperson(\"Rodrigo A.\", \"Oliveira\", email = \"rodrigo.sef@hotmail.com\", role = c(\"aut\"), comment = c(ORCID = \"0000-0003-3328-6669\")),\nperson(\"Gilberto A.\", \"Paula\", email = \"giapaula@ime.usp.br\", role = c(\"aut\"), comment = c(ORCID = \"0000-0002-9906-9942\")),\nperson(\"Sebastian\", \"Sanchez Sandi\", email = \"sebastian.sanchezsandi@ucr.ac.cr \", role = c(\"ctb\"))\n)",
  "Maintainer": "Shu Wei Chou-Chen <shuwei.chou@ucr.ac.cr>",
  "Description": "Set of tools for fitting the additive partial linear\nmodels with symmetric autoregressive errors of order p, or\nAPLMS-AR(p). This setup enables the modeling of a time series\nresponse variable using linear and nonlinear structures of a\nset of explanatory variables, with nonparametric components\napproximated by natural cubic splines or P-splines. It also\naccounts for autoregressive error terms with distributions that\nhave lighter or heavier tails than the normal distribution. The\npackage includes various error distributions, such as normal,\ngeneralized normal, Student's t, generalized Student's t,\npower-exponential, and Cauchy distributions. Chou-Chen, S.W.,\nOliveira, R.A., Raicher, I., Gilberto A. Paula (2024)\n<doi:10.1007/s00362-024-01590-w>.",
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  "Date/Publication": "2025-11-04 21:51:48 UTC",
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