DSAM: Data Splitting Algorithms for Model Developments
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:
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