{ "_id": "6aca53b9fe5cc25786e87556", "Package": "netgwas", "Type": "Package", "Title": "Network-Based Genome Wide Association Studies", "Version": "1.14.5", "Authors@R": "c(person(given = \"Pariya\",\nfamily = \"Behrouzi\",\nrole = c(\"aut\", \"cre\"),\nemail = \"pariya.behrouzi@gmail.com\", comment = c(ORCID = \"0000-0001-6762-5433\")), person(given = \"Ernst\", family = \"C. Wit\", role = \"ctb\"))", "Description": "A multi-core R package that contains a set of tools based\non copula graphical models for accomplishing the three\ninterrelated goals in genetics and genomics in an unified way:\n(1) linkage map construction, (2) constructing linkage\ndisequilibrium networks, and (3) exploring high-dimensional\ngenotype-phenotype network and genotype- phenotype-environment\ninteractions networks. The 'netgwas' package can deal with\nbiparental inbreeding and outbreeding species with any ploidy\nlevel, namely diploid (2 sets of chromosomes), triploid (3 sets\nof chromosomes), tetraploid (4 sets of chromosomes) and so on.\nWe target on high-dimensional data where number of variables p\nis considerably larger than number of sample sizes (p >> n).\nThe computations is memory-optimized using the sparse matrix\noutput. The 'netgwas' implements the methodological\ndevelopments in Behrouzi and Wit (2017)\n and Behrouzi and Wit (2017)\n.", "License": "GPL-3", "Encoding": "UTF-8", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-10 14:24:45 UTC", "User": "root" }, "Author": "Pariya Behrouzi [aut, cre] (ORCID:\n), Ernst C. 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