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This\ntoolkit is designed for researchers working with\nhigh-dimensional count data in fields such as genomics, text\nmining, and social sciences. The data thinning methodology is\ndetailed in Dharamshi et al. (2025)\n and Wang et al. (2025)\n.", "License": "GPL (>= 3)", "Encoding": "UTF-8", "SystemRequirements": "C++17", "RoxygenNote": "7.3.2", "URL": "https://github.com/Wangzhijingwzj/tcv", "BugReports": "https://github.com/Wangzhijingwzj/tcv/issues", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-10-21 07:21:14 UTC", "User": "root" }, "Author": "Zhijing Wang [aut, cre], Heng Peng [aut], Peirong Xu [aut]", "Maintainer": "Zhijing Wang ", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2025-09-23 07:40:02 UTC", "RemoteUrl": "https://github.com/cran/tcv", "RemoteRef": "HEAD", "RemoteSha": "cc9e2cc3622dbc1a5b784220e936f8f0b69eb66b", "_user": "cran", "_type": "src", "_file": "tcv_0.1.0.tar.gz", "_fileid": "https://r2.ropensci.org/73d5e293749f1e364b6aff943277ed2239e6601fd58e4f9043abfc64f27f5c6b", "_filesize": 98623, "_sha256": "73d5e293749f1e364b6aff943277ed2239e6601fd58e4f9043abfc64f27f5c6b", "_expires": "2027-01-29T07:25:30.000Z", "_created": "2026-10-21T07:21:14.000Z", "_published": 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