{ "_id": "6a28fdeb732311cd8758ff92", "Package": "KSgeneral", "Type": "Package", "Version": "2.0.2", "Title": "Computing P-Values of the One-Sample K-S Test and the Two-Sample\nK-S and Kuiper Tests for (Dis)Continuous Null Distribution", "Author": "Dimitrina S. Dimitrova , Yun Jia\n, Vladimir K. Kaishev\n, Senren Tan\n", "Maintainer": "Dimitrina S. Dimitrova ", "SystemRequirements": "fftw3 (>=3.3.4)", "Copyright": "Copyright holders of FFTW3: Copyright (c) 2003, 2007-11\nMatteo Frigo; Copyright (c) 2003, 2007-11 Massachusetts\nInstitute of Technology", "Description": "Contains functions to compute p-values for the one-sample\nand two-sample Kolmogorov-Smirnov (KS) tests and the two-sample\nKuiper test for any fixed critical level and arbitrary\n(possibly very large) sample sizes. For the one-sample KS test,\nthis package implements a novel, accurate and efficient method\nnamed Exact-KS-FFT, which allows the pre-specified cumulative\ndistribution function under the null hypothesis to be\ncontinuous, purely discrete or mixed. In the two-sample case,\nit is assumed that both samples come from an unspecified\n(unknown) continuous, purely discrete or mixed distribution,\ni.e. ties (repeated observations) are allowed, and exact\np-values of the KS and the Kuiper tests are computed. Note, the\ntwo-sample Kuiper test is often used when data samples are on\nthe line or on the circle (circular data). To cite this package\nin publication: (for the use of the one-sample KS test)\nDimitrina S. Dimitrova, Vladimir K. Kaishev, and Senren Tan.\nComputing the Kolmogorov-Smirnov Distribution When the\nUnderlying CDF is Purely Discrete, Mixed, or Continuous.\nJournal of Statistical Software. 2020; 95(10): 1--42.\n. (for the use of the two-sample KS\nand Kuiper tests) Dimitrina S. Dimitrova, Yun Jia and Vladimir\nK. Kaishev (2024). The R functions KS2sample and Kuiper2sample:\nEfficient Exact Calculation of P-values of the Two-sample\nKolmogorov-Smirnov and Kuiper Tests. submitted.", "License": "GPL (>= 2.0)", "URL": "https://github.com/d-dimitrova/KSgeneral", "Encoding": "UTF-8", "LazyData": "true", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-06-08 06:27:59 UTC", "User": "root" }, "Config/pak/sysreqs": "libfftw3-dev", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2024-07-30 02:45:19 UTC", "RemoteUrl": "https://github.com/cran/KSgeneral", "RemoteRef": "HEAD", "RemoteSha": "561412096f08a941a07af7c5cb2f94eddb9f2a9b", "MD5sum": "7ac87f36f8579cf58ed72547b0ec695a", "_user": "cran", "_type": "src", "_file": "KSgeneral_2.0.2.tar.gz", "_fileid": "35a572aea8b0bef9d3e61ca31c1fc754cb0a6347807981b77cada5c33ac18f1a", "_filesize": 468434, "_sha256": "35a572aea8b0bef9d3e61ca31c1fc754cb0a6347807981b77cada5c33ac18f1a", "_created": "2026-06-08T06:27:59.000Z", "_published": "2026-06-10T06:02:19.471Z", "_distro": "noble", "_jobs": [ { "job": 80491999370, "time": 127, "config": "linux-devel-arm64", "r": "4.7.0", "check": "FAIL", "artifact": "" }, { "job": 80491999601, "time": 121, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "NOTE", "artifact": "7473043333" }, { "job": 80491999339, "time": 124, "config": "linux-release-arm64", "r": "4.6.0", "check": "FAIL", "artifact": "" }, { "job": 80491999874, "time": 164, "config": "linux-release-x86_64", "r": "4.6.0", "check": "NOTE", "artifact": "7473053015" }, { "job": 80491999386, "time": 276, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7473014984" }, { "job": 80491999495, "time": 116, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7473042185" } ], "_buildurl": "https://github.com/r-universe/cran/actions/runs/27119874382", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/cran/KSgeneral", "_commit": { "id": "561412096f08a941a07af7c5cb2f94eddb9f2a9b", "author": "Dimitrina S. 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