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.

Getting started

Package details

AuthorK. Gerald van den Boogaart [aut, ths] (<https://orcid.org/0000-0003-4646-943X>), Stefanie Rost [aut], Thomas Petzoldt [aut, ths, cre] (<https://orcid.org/0000-0002-4951-6468>)
MaintainerThomas Petzoldt <thomas.petzoldt@tu-dresden.de>
LicenseGPL (>= 2)
URL http://qualV.R-Forge.R-Project.org/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the qualV package in your browser

Any scripts or data that you put into this service are public.

qualV documentation built on Oct. 7, 2021, 9:13 a.m.