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.

Install the latest version of this package by entering the following in R:
install.packages("qualV")
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/

View on CRAN

Functions

CMAE Man page
CMSE Man page
compareME Man page
EF Man page
f.curve Man page
features Man page
f.level Man page
f.slope Man page
f.steep Man page
generalME Man page
GRI Man page
LCS Man page
MAE Man page
MAGE Man page
MALE Man page
MAOE Man page
MAPE Man page
MSE Man page
MSLE Man page
MSOE Man page
obs Man page
phyto Man page
plot.qvalLCS Man page
plot.timeTransME Man page
print.compareME Man page
print.qvalLCS Man page
print.timeTransME Man page
qualV Man page
qualV-package Man page
qvalLCS Man page
RCMSE Man page
RMSE Man page
RMSGE Man page
RMSLE Man page
RMSOE Man page
RSMSE Man page
RSMSGE Man page
RSMSLE Man page
sim Man page
SMAE Man page
SMAGE Man page
SMALE Man page
SMSE Man page
SMSLE Man page
summary.compareME Man page
summary.qvalLCS Man page
summary.timeTransME Man page
timetransme Man page
timeTransME Man page
transBeta Man page
transBezier Man page
transSimplex Man page

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