R: Computing P-Values of the One-Sample K-S Test and the Two-Sample K-S and Kuiper Tests for (Dis)Continuous Null Distribution

# Computing P-Values of the One-Sample K-S Test and the Two-Sample K-S and Kuiper Tests for (Dis)Continuous Null Distribution

## Documentation for package ‘KSgeneral’ version 2.0.2

- DESCRIPTION file

## Help Pages

KSgeneral-package | Computing P-Values of the One-Sample K-S Test and the Two-Sample K-S and Kuiper Tests 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
KS2sample | 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)
KS2sample_c_Rcpp | 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)
KS2sample_Rcpp | 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)
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)
Kuiper2sample | 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)
Kuiper2sample_c_Rcpp | 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)
Kuiper2sample_Rcpp | 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)
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