CRAN/E | DSAM

DSAM

Data Splitting Algorithms for Model Developments

Installation

About

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.

github.com/lark-max/DSAM
Bug report File report

Key Metrics

Version 1.0.2
R ≥ 2.10
Published 2024-01-29 79 days ago
Needs compilation? no
License MIT
License File
CRAN checks DSAM results

Downloads

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Maintainer

Maintainer

Junyi Chen

jun1chen@zju.edu.cn

Authors

Feifei Zheng

aut / ths

Junyi Chen

aut / cre

Material

README
NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

DSAM archive

Depends

R ≥ 2.10

Imports

caret
kohonen
Matrix
pROC
stats
utils
xgboost