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.

Author
K. Gerald van den Boogaart [aut, ths], Stefanie Rost [aut], Thomas Petzoldt [aut, ths, cre]
Date of publication
2015-09-05 22:22:15
Maintainer
Thomas Petzoldt <thomas.petzoldt@tu-dresden.de>
License
GPL (>= 2)
Version
0.3-2
URLs

View on CRAN

Man pages

compareME
Compute Several Deviance Measures for Comparison
EF
Efficiency Factor as Suggested by Nash & Sutcliffe
features
Qualitative Features of Time Series
GRI
A Geometric Reliability Index as Suggested by Leggett &...
LCS
Algorithm for the Longest Common Subsequence Problem
phyto
Observed and Predicted Data of Phytoplankton
qualV
Qualitative Validation Methods
quantV
Quantitative Validation Methods
qvalLCS
Qualitative Validation by Means of Interval Sequences and LCS
timetrans
Bijective Transformations of Time
timeTransME
Transformation of Time to Match Two Time Series

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