{ "_id": "6a23dc90530b9bc726be6987", "Package": "CNPS", "Type": "Package", "Title": "Nonparametric Statistics", "Version": "1.0.0", "Author": "JiaSheng Zhang [aut,cre] (),\nSiWei Deng [aut], Feng Yu [aut], YangYang Zhang [aut]", "Maintainer": "JiaSheng Zhang ", "Description": "We unify various nonparametric hypothesis testing problems\nin a framework of permutation testing, enabling hypothesis\ntesting on multi-sample, multidimensional data and contingency\ntables. Most of the functions available in the R environment to\nimplement permutation tests are single functions constructed\nfor specific test problems; to facilitate the use of the\npackage, the package encapsulates similar tests in a\ncategorized manner, greatly improving ease of use. We will all\nprovide functions for self-selected permutation scoring methods\nand self-selected p-value calculation methods (asymptotic,\nexact, and sampling). For two-sample tests, we will provide\nmean tests and estimate drift sizes; we will provide tests on\nvariance; we will provide paired-sample tests; we will provide\ncorrelation coefficient tests under three measures. For\nmulti-sample problems, we will provide both ordinary and\nordered alternative test problems. For multidimensional data,\nwe will implement multivariate means (including ordered\nalternatives) and multivariate pairwise tests based on four\nstatistics; the components with significant differences are\nalso calculated. For contingency tables, we will perform\npermutation chi-square test or ordered alternative.", "License": "GPL-2", "Encoding": "UTF-8", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-06 08:35:11 UTC", "User": "root" }, "Repository": "https://zhangmaotai.r-universe.dev", "Date/Publication": "2021-05-25 06:00:06 UTC", "RemoteUrl": "https://github.com/cran/CNPS", "RemoteRef": "HEAD", "RemoteSha": "6a04af3ac85ead79ea0854da3959bb8e38947205", "MD5sum": "27f6d7758ef3721d22b1aa8203462f4d", "_user": "zhangmaotai", "_type": "src", "_file": "CNPS_1.0.0.tar.gz", "_fileid": "58306438d19635178609901c04fea0c2e2d0c75b57c77b67f02374ceb96c6bec", "_filesize": 132396, "_sha256": "58306438d19635178609901c04fea0c2e2d0c75b57c77b67f02374ceb96c6bec", "_created": "2026-06-06T08:35:11.000Z", "_published": "2026-06-06T08:38:40.395Z", "_distro": "noble", "_jobs": [ { "job": 79864670091, "time": 111, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7452901934" }, { "job": 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"extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/CNPS.html", "extra/contents.json", "manual.pdf" ], "_realowner": "zhangmaotai", "_cranurl": false, "_releases": [ { "version": "1.0.0", "date": "2021-05-25" } ], "_exports": [ "cip", "corr_test", "emcdf", "ksample_test", "MultiDimen_test", "pairwise_test", "permu_table", "RMD_test", "siegel_tukey", "twosample_test" ], "_help": [ { "page": "cip", "title": "confidence interval for percentiles in the one-sample case", "topics": [ "cip" ] }, { "page": "corr_test", "title": "Correlation test", "topics": [ "corr_test" ] }, { "page": "emcdf", "title": "Estimating the population cdf", "topics": [ "emcdf" ] }, { "page": "ksample_test", "title": "Multiple sample permutation test", "topics": [ "ksample_test" ] }, { "page": "MultiDimen_test", "title": "Multivariate Permutation Test and Paired Comparisons", "topics": [ "MultiDimen_test" ] }, { "page": "pairwise_test", "title": "Paired Comparisons", "topics": [ 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