ddst: 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.

Version:	1.6.11
Depends:	R (≥ 2.7), polynom
Imports:	ggplot2, orthopolynom, evd
Suggests:	rmutil, knitr
Published:	2026-09-12
DOI:	10.32614/CRAN.package.ddst
Author:	Przemyslaw Biecek [aut, cre], Teresa Ledwina [aut], Grzegorz Wylupek [aut]
Maintainer:	Przemyslaw Biecek <przemyslaw.biecek at gmail.com>
BugReports:	https://github.com/pbiecek/ddst/issues
License:	GPL-2
URL:	https://pbiecek.github.io/ddst/
NeedsCompilation:	no
Materials:	NEWS
CRAN checks:	ddst results

Documentation:

Reference manual:	ddst.html , ddst.pdf
Vignettes:	Examples for ddst package (source, R code)

Downloads:

Package source:	ddst_1.6.11.tar.gz
Windows binaries:	r-devel: ddst_1.4.zip, r-release: ddst_1.4.zip, r-oldrel: ddst_1.4.zip
macOS binaries:	r-release (arm64): ddst_1.4.tgz, r-oldrel (arm64): ddst_1.6.11.tgz, r-release (x86_64): ddst_1.6.11.tgz, r-oldrel (x86_64): ddst_1.6.11.tgz
Old sources:	ddst archive

Reverse dependencies:

Reverse depends:

GLDreg

Linking:

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