{ "_id": "6a1ed792b401979e7340ee03", "Package": "gmwmx2", "Title": "Estimate Functional and Stochastic Parameters of Linear Models\nwith Correlated Residuals and Missing Data", "Version": "0.0.5", "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 Generalized Method of Wavelet Moments with\nExogenous Inputs estimator (GMWMX) presented in Voirol, L., Xu,\nH., Zhang, Y., Insolia, L., Molinari, R. and Guerrier, S.\n(2024) . The GMWMX estimator\nallows to estimate functional and stochastic parameters of\nlinear models with correlated residuals in presence of missing\ndata. The 'gmwmx2' package provides functions to load and plot\nGlobal Navigation Satellite System (GNSS) data from the Nevada\nGeodetic Laboratory and functions to estimate linear model\nmodel with correlated residuals in presence of missing data.", "License": "AGPL-3", "Encoding": "UTF-8", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.3", "Language": "en-US", "VignetteBuilder": "knitr", "URL": "https://smac-group.github.io/gmwmx2/,\nhttps://github.com/SMAC-Group/gmwmx2", "BugReports": "https://github.com/SMAC-Group/gmwmx2/issues", "LazyData": "true", "Config/pak/sysreqs": "libicu-dev libssl-dev", "Repository": "https://smac-group.r-universe.dev", "Date/Publication": "2026-02-19 15:25:03 UTC", "RemoteUrl": "https://github.com/smac-group/gmwmx2", "RemoteRef": "HEAD", "RemoteSha": "73fd0d3001ccf1cf58a5a9c9c9c06305d13cee04", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-05-20 09:53:32 UTC", "User": "root" }, "Author": "Lionel Voirol [aut, cre] (ORCID:\n),\nHaotian Xu [aut] 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