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.


News

0.3.3 o fix empty string bug in LCS o register native routines

0.3.2 o NAMESPACE imports now standard packages o documentation updates

0.3.1 o adaptations to recent versions of R

0.2-6 o C version of LCS algorithm provided by Dominik Reusser

0.2-5 o documentation fixes o maintainer is now Thomas Petzoldt

0.2-4 o moved to R-Forge o added CITATION o new agenda for future developments (ToDo.txt)

0.2-3 o fixed: encoding issue in .Rd files o fixed: break of package check due to fail of numerical optimization
in examples of timeTransME o improved: a few minor documentation issues o G.v.d. Boogaart is now package maintainer

0.2-2 o generic print functions added

0.2-1 o added NEWS and THANKS

0.2 o code and documentation improvements o removed from .Rd: "## The function is currently defined as ..."

0.1-1 o documentation improvements

0.1 o initial version

Reference manual

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install.packages("qualV")

0.3-3 by Thomas Petzoldt, 4 years ago


http://qualV.R-Forge.R-Project.org/


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


Authors: K. Gerald van den Boogaart [aut, ths] , Stefanie Rost [aut] , Thomas Petzoldt [aut, ths, cre]


Documentation:   PDF Manual  


Task views: Analysis of Ecological and Environmental Data


GPL (>= 2) license


Imports graphics, grDevices, stats, utils

Depends on KernSmooth


Imported by concatipede.

Depended on by tiger.


See at CRAN