{ "_id": "6a2287e1cd65a98ecbd53833", "Package": "MetricGraph", "Type": "Package", "Title": "Random Fields on Metric Graphs", "Version": "1.6.0.9000", "Authors@R": "c(\nperson(\"David\", \"Bolin\", email = \"davidbolin@gmail.com\", role = c(\"cre\", \"aut\")),\nperson(\"Alexandre\", \"Simas\", email = \"alexandre.impa@gmail.com\", role = \"aut\"),\nperson(\"Jonas\", \"Wallin\", email = \"jonas.wallin81@gmail.com\", role = \"aut\"))", "Maintainer": "David Bolin ", "Description": "Facilitates creation and manipulation of metric graphs,\nsuch as street or river networks. Further facilitates\noperations and visualizations of data on metric graphs, and the\ncreation of a large class of random fields and stochastic\npartial differential equations on such spaces. These random\nfields can be used for simulation, prediction and inference. In\nparticular, linear mixed effects models including random field\ncomponents can be fitted to data based on computationally\nefficient sparse matrix representations. Interfaces to the R\npackages 'INLA' and 'inlabru' are also provided, which\nfacilitate working with Bayesian statistical models on metric\ngraphs. The main references for the methods are Bolin, Simas\nand Wallin (2024) , Bolin, Kovacs,\nKumar and Simas (2023) and Bolin, Simas\nand Wallin (2023) and\n.", "License": "GPL (>=2)", "Additional_repositories": "https://inla.r-inla-download.org/R/testing", "BugReports": "https://github.com/davidbolin/MetricGraph/issues", "URL": "https://davidbolin.github.io/MetricGraph/", "Copyright": "The R package and code, and the main programs, were written\nby and are Copyright by David Bolin, Alexandre B. Simas and\nJonas Wallin, and are redistributable under the GNU Public\nLicense, version 2 or later. The package also includes partial\ncodes from another package, which was deprecated in Oct-2023,\nand whose codes are under the GPL-2 license. 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