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  "Title": "Estimate Functional and Stochastic Parameters of Linear Models\nwith Correlated Residuals and Missing Data",
  "Version": "0.0.6",
  "Authors@R": "c(\nperson(\"Lionel\", \"Voirol\", email = \"lionelvoirol@hotmail.com\", role = c(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0003-1696-1407\")),\nperson(\"Haotian\", \"Xu\", role = \"aut\",  comment = c(ORCID = \"0000-0001-8336-4536\")),\nperson(\"Yuming\", \"Zhang\", role = \"aut\",  comment = c(ORCID = \"0000-0003-2293-9601\")),\nperson(\"Luca\", \"Insolia\", role = \"aut\", comment = c(ORCID = \"0000-0003-4169-5446\")),\nperson(\"Roberto\", \"Molinari\", role = \"aut\", comment = c(ORCID = \"0000-0001-8766-6902\")),\nperson(\"Stéphane\", \"Guerrier\", role = \"aut\", comment = c(ORCID = \"0000-0003-0002-8794\"))\n)",
  "Description": "Implements the Wavelet Moment Regression (WAMORE)\ninference framework presented in Voirol, L., Xu, H., Zhang, Y.,\nInsolia, L., Molinari, R. and Guerrier, S. (2026)\n<doi:10.48550/arXiv.2607.16264>. Provides computationally\nefficient estimation of functional and stochastic parameters of\nlinear models with correlated residuals, including settings\nwith missing data. Includes functions to download and plot\nGlobal Navigation Satellite System (GNSS) position time series\nfrom the Nevada Geodetic Laboratory and estimate tectonic\nvelocities and crustal uplift using composite stochastic\nmodels.",
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  "URL": "https://smac-group.github.io/gmwmx2/,\nhttps://github.com/SMAC-Group/gmwmx2",
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  "Date/Publication": "2026-10-04 15:37:08 UTC",
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  "Author": "Lionel Voirol [aut, cre] (ORCID:\n<https://orcid.org/0000-0003-1696-1407>),\nHaotian Xu [aut] (ORCID: <https://orcid.org/0000-0001-8336-4536>),\nYuming Zhang [aut] (ORCID: <https://orcid.org/0000-0003-2293-9601>),\nLuca Insolia [aut] (ORCID: <https://orcid.org/0000-0003-4169-5446>),\nRoberto Molinari [aut] (ORCID: <https://orcid.org/0000-0001-8766-6902>),\nStéphane Guerrier [aut] (ORCID:\n<https://orcid.org/0000-0003-0002-8794>)",
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