CRAN/E | qualV

qualV

Qualitative Validation Methods

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About

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.

Citation qualV citation info
qualV.R-Forge.R-Project.org/

Key Metrics

Version 0.3-5
R ≥ 2.0.0
Published 2023-07-02 299 days ago
Needs compilation? yes
License GPL-2
License GPL-3
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Maintainer

Maintainer

Thomas Petzoldt

thomas.petzoldt@tu-dresden.de

Authors

K. Gerald van den Boogaart

aut / ths

Stefanie Rost

aut

Thomas Petzoldt

aut / ths / cre

Material

NEWS
Reference manual
Package source

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macOS

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arm64

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arm64

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x86_64

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Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

qualV archive

Depends

R ≥ 2.0.0
KernSmooth

Imports

graphics
grDevices
stats
utils

Reverse Imports

biscuiteer
ChromSCape
concatipede