{ "_id": "6a0f7146acfb0bcc41c5f730", "Package": "corTest", "Type": "Package", "Title": "Robust Tests for Equal Correlation", "Version": "1.0.7", "Author": "Danyang Yu, Weiliang Qiu, Zeyu Zhang, Kimberly Glass, Jessica\nSu, Dawn L. DeMeo, Kelan Tantisira, Scott T. Weiss", "Maintainer": "Danyang Yu ", "Description": "There are 6 novel robust tests for equal correlation. They\nare all based on logistic regressions. The score statistic U is\nproportion to difference of two correlations based on different\ntypes of correlation in 6 methods. The ST1() is based on\nPearson correlation. ST2() improved ST1() by using median\nabsolute deviation. ST3() utilized type M correlation and ST4()\nused Spearman correlation. ST5() and ST6() used two different\nways to combine ST3() and ST4(). We highly recommend ST5()\naccording to the article titled ''New Statistical Methods for\nConstructing Robust Differential Correlation Networks to\ncharacterize the interactions among microRNAs'' published in\nScientific Reports. Please see the reference: Yu et al. (2019)\n.", "License": "GPL (>= 2)", "Encoding": "UTF-8", "LazyData": "true", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-21 07:13:39 UTC", "User": "root" }, "RoxygenNote": "7.1.1", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2020-09-25 14:30:02 UTC", "RemoteUrl": "https://github.com/cran/corTest", "RemoteRef": "HEAD", "RemoteSha": "053fbe7df7f06dda5b6111c6678dbff2210415de", "MD5sum": "5022ced41fa585648b96ac84b6b7ec39", "_user": "cran", "_type": "src", "_file": "corTest_1.0.7.tar.gz", "_fileid": "df13e2c847ea8081699475d30c03e94c2ce1636771311a5657e736b09ee70855", "_filesize": 187605, "_sha256": "df13e2c847ea8081699475d30c03e94c2ce1636771311a5657e736b09ee70855", "_created": "2026-05-21T07:13:39.000Z", "_published": "2026-05-21T20:55:34.759Z", "_distro": "noble", "_jobs": [ { "job": 77266932135, "time": 139, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "NOTE", "artifact": "7129484632" }, { "job": 77266932914, "time": 139, "config": 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