{ "_id": "6a1ed329b401979e7340dfb7", "Package": "scellpam", "Type": "Package", "Title": "Applying Partitioning Around Medoids to Single Cell Data with\nHigh Number of Cells", "Version": "1.4.7", "Date": "2026-04-20", "Author": "Juan Domingo [aut, cre] (ORCID:\n), Guillermo Ayala [ctb]\n(ORCID: ), Spanish\nMinistry of Science and Innovation, MCIN/AEI\n [fnd]", "Maintainer": "Juan Domingo ", "Authors@R": "c(person(\"Juan\",\"Domingo\", email = \"Juan.Domingo@uv.es\", role=c(\"aut\",\"cre\"), comment=c(ORCID=\"0000-0003-4728-6256\")),\nperson(\"Guillermo\",\"Ayala\", email = \"Guillermo.Ayala@uv.es\", role=c(\"ctb\"), comment=c(ORCID=\"0000-0002-6231-2865\")),\nperson(\"Spanish Ministry of Science and Innovation, MCIN/AEI \", role=c(\"fnd\")))", "Description": "PAM (Partitioning Around Medoids) algorithm application to\nsamples of single cell sequencing techniques with a high number\nof cells (as many as the computer memory allows). The package\nuses a binary format to store matrices (either full, sparse or\nsymmetric) in files written in the disk that can contain any\ndata type (not just double) which allows its manipulation when\nmemory is sufficient to load them as int or float, but not as\ndouble. The PAM implementation is done in parallel, using\nseveral/all the cores of the machine, if it has them. This\npackage shares a great part of its code with packages 'jmatrix'\nand 'parallelpam' but their functionality is included here so\nthere is no need to install them.", "License": "GPL (>= 2)", "RoxygenNote": "7.3.2", "Encoding": "UTF-8", "VignetteBuilder": "knitr", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-05-21 09:56:08 UTC", "User": "root" }, "Repository": "https://jdmde.r-universe.dev", "Date/Publication": "2026-04-21 15:47:50 UTC", "RemoteUrl": "https://github.com/cran/scellpam", "RemoteRef": "HEAD", "RemoteSha": "cc73c89708d2265595e33dc0769eb3cfbe93eca2", "MD5sum": "e4ce0409f2076a0ab18951ce09342c28", "_user": "jdmde", "_type": "src", "_file": "scellpam_1.4.7.tar.gz", "_fileid": "cd82281a583a2457e25758d8a3e9b32768ca4958146d06c938443a9669eed87e", "_filesize": 2188617, "_sha256": "cd82281a583a2457e25758d8a3e9b32768ca4958146d06c938443a9669eed87e", "_created": "2026-05-21T09:56:08.000Z", "_published": "2026-06-02T12:57:13.938Z", "_distro": "noble", "_jobs": [ { "job": 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