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  "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",
  "Authors@R": "c(\nperson(given = c(\"Dimitrina\", \"S.\"),\nfamily = \"Dimitrova\",\nrole = c(\"aut\", \"cre\"),\nemail = \"D.Dimitrova@city.ac.uk\"),\nperson(given = \"Yun\",\nfamily = \"Jia\",\nrole = \"aut\",\nemail = \"yunjia2019@gmail.com\"),\nperson(given = c(\"Vladimir\", \"K.\"),\nfamily = \"Kaishev\",\nrole = \"aut\",\nemail = \"Vladimir.Kaishev.1@city.ac.uk\"),\nperson(given = \"Senren\",\nfamily = \"Tan\",\nrole = \"aut\",\nemail = \"raymondtsrtsr@outlook.com\")\n)",
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  "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<doi:10.18637/jss.v095.i10>. (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",
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  "Repository": "https://d-dimitrova.r-universe.dev",
  "Date/Publication": "2026-10-02 21:25:02 UTC",
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  "Author": "Dimitrina S. Dimitrova [aut, cre],\nYun Jia [aut],\nVladimir K. Kaishev [aut],\nSenren Tan [aut]",
  "Maintainer": "Dimitrina S. Dimitrova <D.Dimitrova@city.ac.uk>",
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      "date": "2018-01-08"
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    "cont_ks_cdf",
    "cont_ks_test",
    "disc_ks_c_cdf",
    "disc_ks_test",
    "ks_c_cdf",
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    "KS2sample",
    "KS2sample_c_Rcpp",
    "KS2sample_Rcpp",
    "Kuiper2sample",
    "Kuiper2sample_c_Rcpp",
    "Kuiper2sample_Rcpp",
    "mixed_ks_c_cdf",
    "mixed_ks_test"
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      "title": "The proportion of inhabitants living within a 200 kilometer wide costal strip in 232 countries in the year 2010",
      "object": "Population_Data",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Proportion"
      ],
      "rows": 232,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "ksgeneral-package",
      "title": "Computing P-Values of the One-Sample K-S Test and the Two-Sample K-S and Kuiper Tests for (Dis)Continuous Null Distribution",
      "topics": [
        "KSgeneral-package"
      ]
    },
    {
      "page": "cont_ks_c_cdf",
      "title": "Computes the complementary cumulative distribution function of the two-sided Kolmogorov-Smirnov statistic when the cdf under the null hypothesis is continuous",
      "topics": [
        "cont_ks_c_cdf"
      ]
    },
    {
      "page": "cont_ks_distribution",
      "title": "Computes the cumulative distribution function of the two-sided Kolmogorov-Smirnov statistic when the cdf under the null hypothesis is continuous",
      "topics": [
        "cont_ks_cdf"
      ]
    },
    {
      "page": "cont_ks_test",
      "title": "Computes the p-value for a one-sample two-sided Kolmogorov-Smirnov test when the cdf under the null hypothesis is continuous",
      "topics": [
        "cont_ks_test"
      ]
    },
    {
      "page": "disc_ks_c_cdf",
      "title": "Computes the complementary cumulative distribution function of the two-sided Komogorov-Smirnov statistic when the cdf under the null hypothesis is purely discrete",
      "topics": [
        "disc_ks_c_cdf"
      ]
    },
    {
      "page": "disc_ks_test",
      "title": "Computes the p-value for a one-sample two-sided Kolmogorov-Smirnov test when the cdf under the null hypothesis is purely discrete",
      "topics": [
        "disc_ks_test"
      ]
    },
    {
      "page": "ks_c_cdf",
      "title": "Exact-KS-FFT Complementary CDF from Pre-computed Boundaries",
      "topics": [
        "ks_c_cdf"
      ]
    },
    {
      "page": "KS2sample",
      "title": "Computes the p-value for a (weighted) two-sample Kolmogorov-Smirnov test, given an arbitrary positive weight function and arbitrary data samples with possibly repeated observations (i.e. ties)",
      "topics": [
        "KS2sample"
      ]
    },
    {
      "page": "KS2sample_c_Rcpp",
      "title": "R function calling the C++ routines that compute the complementary p-value for a (weighted) two-sample Kolmogorov-Smirnov (KS) test, given an arbitrary positive weight function and arbitrary data samples with possibly repeated observations (i.e. ties)",
      "topics": [
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      ]
    },
    {
      "page": "KS2sample_Rcpp",
      "title": "R function calling the C++ routines that compute the p-value for a (weighted) two-sample Kolmogorov-Smirnov (KS) test, given an arbitrary positive weight function and arbitrary data samples with possibly repeated observations (i.e. ties)",
      "topics": [
        "KS2sample_Rcpp"
      ]
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      "title": "Deprecated Functions in Package 'KSgeneral'",
      "topics": [
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        "ks_c_cdf_Rcpp"
      ]
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    {
      "page": "Kuiper2sample",
      "title": "Computes the p-value for a two-sample Kuiper test, given arbitrary data samples on the real line or on the circle with possibly repeated observations (i.e. ties)",
      "topics": [
        "Kuiper2sample"
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      "title": "R function calling the C++ routines that compute the complementary p-value for a (unweighted) two-sample Kuiper test, given arbitrary data samples on the real line or on the circle with possibly repeated observations (i.e. ties)",
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      "title": "R function calling the C++ routines that compute the p-value for a (unweighted) two-sample Kuiper test, given arbitrary data samples on the real line or on the circle with possibly repeated observations (i.e. ties)",
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