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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 |