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  "Title": "MDL Multiresolution Linear Regression Framework",
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  "Authors@R": "person(given = \"Chainarong\",\nfamily = \"Amornbunchornvej\",\nrole = c(\"aut\", \"cre\"),\nemail = \"grandca@gmail.com\",\ncomment = c(ORCID = \"0000-0003-3131-0370\"))",
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  "Description": "We provide the framework to analyze multiresolution\npartitions (e.g. country, provinces, subdistrict) where each\nindividual data point belongs to only one partition in each\nlayer (e.g. i belongs to subdistrict A, province P, and country\nQ).  We assume that a partition in a higher layer subsumes\nlower-layer partitions (e.g. a nation is at the 1st layer\nsubsumes all provinces at the 2nd layer). Given N individuals\nthat have a pair of real values (x,y) that generated from\nindependent variable X and dependent variable Y. Each\nindividual i belongs to one partition per layer. Our goal is to\nfind which partitions at which highest level that all\nindividuals in the these partitions share the same linear model\nY=f(X) where f is a linear function. The framework deploys the\nMinimum Description Length principle (MDL) to infer solutions.\nThe publication of this package is at Chainarong\nAmornbunchornvej, Navaporn Surasvadi, Anon Plangprasopchok, and\nSuttipong Thajchayapong (2021) <doi:10.1145/3424670>.",
  "License": "MIT + file LICENSE",
  "URL": "https://github.com/DarkEyes/MRReg",
  "BugReports": "https://github.com/DarkEyes/MRReg/issues",
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  "Repository": "https://darkeyes.r-universe.dev",
  "Date/Publication": "2025-05-06 08:29:00 UTC",
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