{ "_id": "6a1050acacfb0bcc41ca1200", "Package": "sparkhail", "Type": "Package", "Title": "A 'Sparklyr' Extension for 'Hail'", "Version": "0.1.1", "Authors@R": "c(\nperson(\"Samuel\", \"Macêdo\", email = \"samuelmacedo@recife.ifpe.edu.br\",\nrole = c(\"aut\", \"cre\")),\nperson(\"Javier\", \"Luraschi\", email = \"javier@rstudio.com\",\nrole = \"aut\"),\nperson(\"Michael\", \"Lawrence\", email = \"michafla@gene.com\",\nrole = \"ctb\")\n)", "Maintainer": "Samuel Macêdo ", "Description": "'Hail' is an open-source, general-purpose, 'python' based\ndata analysis tool with additional data types and methods for\nworking with genomic data, see . 'Hail' is\nbuilt to scale and has first-class support for\nmulti-dimensional structured data, like the genomic data in a\ngenome-wide association study (GWAS). 'Hail' is exposed as a\n'python' library, using primitives for distributed queries and\nlinear algebra implemented in 'scala', 'spark', and\nincreasingly 'C++'. The 'sparkhail' is an R extension using\n'sparklyr' package. The idea is to help R users to use 'hail'\nfunctionalities with the well-know 'tidyverse' syntax, see\n.", "License": "Apache License 2.0 | file LICENSE", "Encoding": "UTF-8", "RoxygenNote": "6.1.1", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-10 05:23:41 UTC", "User": "root" }, "Author": "Samuel Macêdo [aut, cre], Javier Luraschi [aut], Michael\nLawrence [ctb]", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2019-12-23 16:50:02 UTC", "RemoteUrl": "https://github.com/cran/sparkhail", "RemoteRef": "HEAD", "RemoteSha": "d398df009d755b4355f763816c0fe9b1bacfc197", "MD5sum": "4080e4d0a84d270bdb7626e0f7b13c6b", "_user": "cran", "_type": "src", "_file": "sparkhail_0.1.1.tar.gz", "_fileid": "4d8d09f3570ac2c7819cc53aa0d464d56b13356ebda04054bd6b4d2fcf87f434", "_filesize": 208593, "_sha256": "4d8d09f3570ac2c7819cc53aa0d464d56b13356ebda04054bd6b4d2fcf87f434", "_created": "2026-05-10T05:23:41.000Z", "_published": "2026-05-22T12:48:44.482Z", "_distro": "noble", 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