{ "_id": "6a105c8facfb0bcc41ca43e6", "Package": "TestCor", "Title": "FWER and FDR Controlling Procedures for Multiple Correlation\nTests", "Version": "0.0.2.2", "Date": "2020-09-18", "Authors@R": "c(\nperson(\"Gannaz\", \"Irene\", email = \"irene.gannaz@insa-lyon.fr\", role = c(\"aut\",\"cre\")))", "Maintainer": "Gannaz Irene ", "Description": "Different multiple testing procedures for correlation\ntests are implemented. These procedures were shown to\ntheoretically control asymptotically the Family Wise Error Rate\n(Roux (2018) )\nor the False Discovery Rate (Cai & Liu (2016)\n). The package gather four\ntest statistics used in correlation testing, four FWER\nprocedures with either single step or stepdown versions, and\nfour FDR procedures.", "Encoding": "UTF-8", "License": "GPL (>= 2)", "RoxygenNote": "7.1.1", "NeedsCompilation": "yes", "Author": "Gannaz Irene [aut, cre]", "Packaged": { "Date": "2026-05-09 05:08:45 UTC", "User": "root" }, "Repository": "https://cran.r-universe.dev", "Date/Publication": "2020-10-15 07:50:02 UTC", "RemoteUrl": "https://github.com/cran/TestCor", "RemoteRef": "HEAD", "RemoteSha": "9d5d2a9a1ac284e3346bd144776559cbd82a8b52", "MD5sum": "16937a9955ff4fad1bc8193e7e8050c5", "_user": "cran", "_type": "src", "_file": "TestCor_0.0.2.2.tar.gz", "_fileid": "9e2aee37101f5ee275ab0d83213890939bc1288e42144a528da450635f0112eb", "_filesize": 283777, "_sha256": "9e2aee37101f5ee275ab0d83213890939bc1288e42144a528da450635f0112eb", "_created": "2026-05-09T05:08:45.000Z", "_published": "2026-05-22T13:39:27.250Z", "_distro": "noble", "_jobs": [ { "job": 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correlations.", "topics": [ "BonferroniCor" ] }, { "page": "BonferroniCor_SD", "title": "Bonferroni multiple testing method for correlations with stepdown procedure.", "topics": [ "BonferroniCor_SD" ] }, { "page": "BootRWCor", "title": "Bootstrap multiple testing method of Romano & Wolf (2005) for correlations.", "topics": [ "BootRWCor" ] }, { "page": "BootRWCor_SD", "title": "Boootstrap multiple testing method of Romano & Wolf (2005) for correlations, with stepdown procedure.", "topics": [ "BootRWCor_SD" ] }, { "page": "covD2nd", "title": "Returns the theoretical covariance of empirical correlations.", "topics": [ "covD2nd" ] }, { "page": "covDcor", "title": "Returns the theoretical covariance of empirical correlations.", "topics": [ "covDcor" ] }, { "page": "covDcorNorm", "title": "Returns the theoretical covariance of test statistics for correlation testing.", "topics": [ "covDcorNorm" ] }, { "page": "eval_stat", "title": "Evaluates the test statistics for tests on correlation matrix entries.", "topics": [ "eval_stat" ] }, { "page": "LCTboot", "title": "Bootstrap procedure LCT-B proposed by Cai & Liu (2016) for correlation testing.", "topics": [ "LCTboot" ] }, { "page": "LCTnorm", "title": "Procedure LCT-N proposed by Cai & Liu (2016) for correlation testing.", "topics": [ "LCTnorm" ] }, { "page": "maxTinftyCor", "title": "Multiple testing method of Drton & Perlman (2007) for correlations.", "topics": [ "maxTinftyCor" ] }, { "page": "maxTinftyCor_SD", "title": "Multiple testing method of Drton & Perlman (2007) for correlations, with stepdown procedure.", "topics": [ "maxTinftyCor_SD" ] }, { "page": "SidakCor", "title": "Sidak multiple testing procedure for correlations.", "topics": [ "SidakCor" ] }, { "page": "SidakCor_SD", "title": "Sidak multiple testing method for correlations with stepdown procedure.", "topics": [ "SidakCor_SD" ] }, { "page": "SimuFdr", "title": "Simulates Gaussian data with a given correlation matrix and applies a FDR controlling 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