doi:10.1016/j.jhydrol.2022.128340>, Zheng et al. (2022) <doi:10.1029/2021WR031818>.">

DSAM: Data Splitting Algorithms for Model Developments (original) (raw)

Providing six different algorithms that can be used to split the available data into training, test and validation subsets with similar distribution for hydrological model developments. The dataSplit() function will help you divide the data according to specific requirements, and you can refer to the par.default() function to set the parameters for data splitting. The getAUC() function will help you measure the similarity of distribution features between the data subsets. For more information about the data splitting algorithms, please refer to: Chen et al. (2022) <doi:10.1016/j.jhydrol.2022.128340>, Zheng et al. (2022) <doi:10.1029/2021WR031818>.

Version: 1.0.2
Depends: R (≥ 2.10)
Imports: caret, kohonen, Matrix, pROC, stats, utils, xgboost
Published: 2024-01-29
DOI: 10.32614/CRAN.package.DSAM
Author: Feifei Zheng [aut, ths], Junyi Chen ORCID iD [aut, cre]
Maintainer: Junyi Chen
BugReports: https://github.com/lark-max/DSAM/issues
License: MIT + file
URL: https://github.com/lark-max/DSAM
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: DSAM results

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