Package: DSAM
Title: Data Splitting Algorithms for Model Developments
Version: 1.0.2
Authors@R: 
    c(person(
      	given="Feifei", 
      	family="Zheng",
      	email="feifeizheng@zju.edu.cn", 
      	role=c("aut", "ths")),
      person(
      	given="Junyi", 
      	family="Chen",
      	email="jun1chen@zju.edu.cn", 
      	role=c("aut", "cre"),
        comment=c(ORCID = "0009-0001-1978-6475"))
      )
Description: 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>.
License: MIT + file LICENSE
URL: https://github.com/lark-max/DSAM
BugReports: https://github.com/lark-max/DSAM/issues
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.3
Imports: caret, kohonen, Matrix, pROC, stats, utils, xgboost
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: no
Packaged: 2026-10-04 09:21:51 UTC; root
Author: Feifei Zheng [aut, ths], Junyi Chen [aut, cre]
        (<https://orcid.org/0009-0001-1978-6475>)
Maintainer: Junyi Chen <jun1chen@zju.edu.cn>
Config/pak/sysreqs: make libicu-dev
Repository: https://lark-max.r-universe.dev
Date/Publication: 2025-01-19 13:26:54 UTC
RemoteUrl: https://github.com/lark-max/dsam
RemoteRef: HEAD
RemoteSha: 579637540c202a406b1712c7d7e7fc643c2d2d75