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.
- Version0.3-5
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- qualV citation info
- Last release07/02/2023
Documentation
Team
Thomas Petzoldt
K. Gerald van den Boogaart
Show author detailsRolesAuthor, Thesis advisorStefanie Rost
Show author detailsRolesAuthor
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Last 30 days
This package has been downloaded 1,152 times in the last 30 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 30 times.
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Last 365 days
This package has been downloaded 10,411 times in the last 365 days. The downloads are officially high enough to crash an underfunded departmental server. Quite an accomplishment! The day with the most downloads was Mar 13, 2025 with 92 downloads.
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Dependencies
- Depends1 package
- Reverse Imports1 package