Data Driven Smooth Tests

Smooth tests are data driven (alternative hypothesis is dynamically selected based on data). In this package you will find two groups of smooth of test: goodness-of-fit tests and nonparametric tests for comparing distributions. Among goodness-of-fit tests there are tests for exponent, Gaussian, Gumbel and uniform distribution. Among nonparametric tests there are tests for stochastic dominance, k-sample test, test with umbrella alternatives and test for change-point problems.


Reference manual

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install.packages("ddst")

1.6.11 by Przemyslaw Biecek, a month ago


https://pbiecek.github.io/ddst/


Report a bug at https://github.com/pbiecek/ddst/issues


Browse source code at https://github.com/cran/ddst


Authors: Przemyslaw Biecek [aut, cre] (ORCID: , Teresa Ledwina [aut] , Grzegorz Wylupek [aut]


Documentation:   PDF Manual  


GPL-2 license


Imports ggplot2, orthopolynom, evd

Depends on polynom

Suggests rmutil, knitr


Depended on by GLDreg.


See at CRAN