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qualV (version 0.3-5)

Qualitative Validation Methods

Description

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.

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Version

Install

install.packages('qualV')

Monthly Downloads

775

Version

0.3-5

License

GPL (>= 2)

Maintainer

Last Published

July 2nd, 2023

Functions in qualV (0.3-5)

qvalLCS

Qualitative Validation by Means of Interval Sequences and LCS
EF

Efficiency Factor as Suggested by Nash and Sutcliffe
timeTransME

Transformation of Time to Match Two Time Series
GRI

Geometric Reliability Index as Suggested by Leggett and Williams (1981)
timetrans

Bijective Transformations of Time
compareME

Compute Several Deviance Measures for Comparison
phyto

Observed and Predicted Data of Phytoplankton
features

Qualitative Features of Time Series
LCS

Algorithm for the Longest Common Subsequence Problem
qualV-package

Qualitative Validation Methods
quantV

Quantitative Validation Methods