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qualV  

Qualitative Validation Methods
View on CRAN: Click here


Download and install qualV package within the R console
Install from CRAN:
install.packages("qualV")

Install from Github:
library("remotes")
install_github("cran/qualV")

Install by package version:
library("remotes")
install_version("qualV", "0.3-5")



Attach the package and use:
library("qualV")
Maintained by
Thomas Petzoldt
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2007-05-31
Latest Update: 2023-07-02
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.
How to cite:
Thomas Petzoldt (2007). qualV: Qualitative Validation Methods. R package version 0.3-5, https://cran.r-project.org/web/packages/qualV. Accessed 06 Jan. 2025.
Previous versions and publish date:
0.2-2 (2007-05-31 16:36), 0.2-3 (2007-09-02 11:13), 0.2-4 (2009-01-12 09:27), 0.2-5 (2010-05-11 09:48), 0.3-1 (2015-03-12 23:02), 0.3-2 (2015-09-05 22:22), 0.3-3 (2017-06-13 01:22), 0.3-4 (2021-10-07 07:10), 0.3 (2011-03-26 16:44)
Other packages that cited qualV R package
View qualV citation profile
Other R packages that qualV depends, imports, suggests or enhances
Complete documentation for qualV
Functions, R codes and Examples using the qualV R package
Some associated functions: EF . GRI . LCS . compareME . features . phyto . qualV . quantV . qvalLCS . timeTransME . timetrans . 
Some associated R codes: EF.R . GRI.R . LCS.R . features.R . quantV.R . transbeta.R .  Full qualV package functions and examples
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