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 [aut, cre] Maintainer: Junyi Chen <jun1chen at zju.edu.cn> BugReports: https://github.com/lark-max/DSAM/issues License: MIT + file LICENSE URL: https://github.com/lark-max/DSAM NeedsCompilation: no Materials: README, NEWS CRAN checks: DSAM results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=DSAM to link to this page.
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