qualV: Qualitative Validation Methods

Qualitative methods for the validation of dynamic models. It contains (i) an orthogonal set of deviance measures for absolute, relative and ordinal scale and (ii) approaches accounting for time shifts. The first approach transforms time to take time delays and speed differences into account. The second divides the time series into interval units according to their main features and finds the longest common subsequence (LCS) using a dynamic programming algorithm.

Version: 0.3-5
Depends: R (≥ 2.0.0), KernSmooth
Imports: graphics, grDevices, stats, utils
Published: 2023-07-02
DOI: 10.32614/CRAN.package.qualV
Author: K. Gerald van den Boogaart ORCID iD [aut, ths], Stefanie Rost [aut], Thomas Petzoldt ORCID iD [aut, ths, cre]
Maintainer: Thomas Petzoldt <thomas.petzoldt at tu-dresden.de>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://qualV.R-Forge.R-Project.org/
NeedsCompilation: yes
Citation: qualV citation info
Materials: NEWS
In views: Environmetrics
CRAN checks: qualV results


Reference manual: qualV.pdf


Package source: qualV_0.3-5.tar.gz
Windows binaries: r-devel: qualV_0.3-5.zip, r-release: qualV_0.3-5.zip, r-oldrel: qualV_0.3-5.zip
macOS binaries: r-release (arm64): qualV_0.3-5.tgz, r-oldrel (arm64): qualV_0.3-5.tgz, r-release (x86_64): qualV_0.3-5.tgz, r-oldrel (x86_64): qualV_0.3-5.tgz
Old sources: qualV archive

Reverse dependencies:

Reverse imports: biscuiteer, ChromSCape, concatipede


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