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Type: Package
Title: Permutation Based Paired Kolmogorov-Smirnov Test
Version: 1.0
Date: 2025-09-21
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Depends: R (≥ 4.0)
Imports: Rfast, stats
Suggests: Rfast2
Description: Permutation based Kolmogorov-Smirnov test for paired samples. The test was proposed by Wang W.S., Amsler C. and Schmidt, P. (2025) <doi:10.1007/s00181-025-02779-0>.
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Packaged: 2025-09-21 08:34:58 UTC; mtsag
Repository: CRAN
Date/Publication: 2025-09-27 08:20:02 UTC

Permutation Based Paired Kolmogorov-Smirnov Test

Description

Permutation Based Paired Kolmogorov-Smirnov Test

Details

Package: ppks
Type: Package
Version: 1.0
Date: 2025-09-21
License: GPL-2

Maintainers

Michail Tsagris <mtsagris@uoc.gr>

Author(s)

Michail Tsagris mtsagris@uoc.gr.

References

Wang W.S., Amsler C. and Schmidt, P. (2025). A randomly swapped bootstrap for paired data: testing equality of distribution for correlated samples. Empirical Economics, To appear. https://link.springer.com/article/10.1007/s00181-025-02779-0


Permutation Based Paired Kolmogorov-Smirnov Test

Description

Permutation Based Paired Kolmogorov-Smirnov Test

Usage

colppks(x, y, R = 999)

Arguments

x

A numerical matrix with data.

y

A numerical matrix with data.

R

The number of permutations to perform.

Details

The permutation based Kolmogorov-Smirnov test for paired samples (Wang W.S., Amsler C. and Schmidt, P., 2025) is performed. The x and y matrices contain the paired observations. The i-th column of x is paired with the i-th column of y.

Value

A vector with permutation based p-values. Each p-value corresponds to a column in the matrices.

Author(s)

Michail Tsagris.

R implementation and documentation: Michail Tsagris mtsagris@uoc.gr.

References

Wang W.S., Amsler C. and Schmidt, P. (2025). A randomly swapped bootstrap for paired data: testing equality of distribution for correlated samples. Empirical Economics, To appear. https://link.springer.com/article/10.1007/s00181-025-02779-0

Examples

x <- matrix( rnorm(30 * 10), ncol = 10 )
y <- x + rnorm(30 * 10)
colppks(x, y)

Permutation Based Paired Kolmogorov-Smirnov Test

Description

Permutation Based Paired Kolmogorov-Smirnov Test

Usage

ppks(x, y, R = 999)

Arguments

x

A numerical vector with data.

y

A numerical vector with data.

R

The number of permutations to perform.

Details

The permutation based Kolmogorov-Smirnov test for paired samples (Wang W.S., Amsler C. and Schmidt, P., 2025) is performed. The x and y vectors contain the paired observations.

Value

The permutation based p-value.

Author(s)

Michail Tsagris.

R implementation and documentation: Michail Tsagris mtsagris@uoc.gr.

References

Wang W.S., Amsler C. and Schmidt, P. (2025). A randomly swapped bootstrap for paired data: testing equality of distribution for correlated samples. Empirical Economics, To appear. https://link.springer.com/article/10.1007/s00181-025-02779-0

Examples

x <- rnorm(30)
y <- x + rnorm(30)
ppks(x, y)

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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