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.

AuthorK. Gerald van den Boogaart [aut, ths], Stefanie Rost [aut], Thomas Petzoldt [aut, ths, cre]
Date of publication2015-09-05 22:22:15
MaintainerThomas Petzoldt <thomas.petzoldt@tu-dresden.de>
LicenseGPL (>= 2)
Version0.3-2
http://qualV.R-Forge.R-Project.org/

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Files in this package

qualV
qualV/inst
qualV/inst/CITATION
qualV/inst/NEWS
qualV/inst/THANKS
qualV/src
qualV/src/lcs.c
qualV/NAMESPACE
qualV/demo
qualV/demo/00Index
qualV/demo/qualV.R
qualV/data
qualV/data/phyto.rda
qualV/R
qualV/R/transbeta.R qualV/R/EF.R qualV/R/features.R qualV/R/LCS.R qualV/R/GRI.R qualV/R/quantV.R
qualV/MD5
qualV/DESCRIPTION
qualV/man
qualV/man/compareME.Rd qualV/man/quantV.Rd qualV/man/features.Rd qualV/man/timeTransME.Rd qualV/man/timetrans.Rd qualV/man/phyto.Rd qualV/man/EF.Rd qualV/man/LCS.Rd qualV/man/GRI.Rd qualV/man/qualV.Rd qualV/man/qvalLCS.Rd

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