Computing P-Values of the K-S Test for (Dis)Continuous Null Distribution

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Documentation for package ‘KSgeneral’ version 1.1.3

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KSgeneral-package Computing P-Values of the K-S Test for (Dis)Continuous Null Distribution
cont_ks_cdf Computes the cumulative distribution function of the two-sided Kolmogorov-Smirnov statistic when the cdf under the null hypothesis is continuous
cont_ks_c_cdf Computes the complementary cumulative distribution function of the two-sided Kolmogorov-Smirnov statistic when the cdf under the null hypothesis is continuous
cont_ks_test Computes the p-value for a one-sample two-sided Kolmogorov-Smirnov test when the cdf under the null hypothesis is continuous
disc_ks_c_cdf Computes the complementary cumulative distribution function of the two-sided Komogorov-Smirnov statistic when the cdf under the null hypothesis is purely discrete
disc_ks_test Computes the p-value for a one-sample two-sided Kolmogorov-Smirnov test when the cdf under the null hypothesis is purely discrete
ks_c_cdf_Rcpp R function calling directly the C++ routines that compute the complementary cumulative distribution function of the two-sided (or one-sided, as a special case) Kolmogorov-Smirnov statistic, when the cdf under the null hypothesis is arbitrary (i.e., purely discrete, mixed or continuous)
mixed_ks_c_cdf Computes the complementary cumulative distribution function of the two-sided Kolmogorov-Smirnov statistic when the cdf under the null hypothesis is mixed
mixed_ks_test Computes the p-value for a one-sample two-sided Kolmogorov-Smirnov test when the cdf under the null hypothesis is mixed
Population_Data The proportion of inhabitants living within a 200 kilometer wide costal strip in 232 countries in the year 2010