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DSAM
View on CRAN: Click
here
Download and install DSAM package within the R console
Install from CRAN:
install.packages("DSAM")
Install from Github:
library("remotes")
install_github("cran/DSAM")
Install by package version:
library("remotes")
install_version("DSAM", "1.0.2")
Attach the package and use:
library("DSAM")
Maintained by
Junyi Chen
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.DSAM . https://github.com/lark-max/DSAM/issues . https://github.com/lark-max/DSAM . DSAM results . DSAM.pdf . DSAM_1.0.2.tar.gz . DSAM_1.0.2.zip . DSAM_1.0.2.zip . DSAM_1.0.2.zip . DSAM_1.0.2.tgz . DSAM_1.0.2.tgz . DSAM_1.0.2.tgz . DSAM_1.0.2.tgz . DSAM_1.0.2.tgz . DSAM_1.0.2.tgz . DSAM archive . https://CRAN.R-project.org/package=DSAM .
First Published: 2023-08-16
Latest Update: 2024-01-29
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) ,
Zheng et al. (2022) .
How to cite:
Junyi Chen (2023). DSAM: Data Splitting Algorithms for Model Developments. R package version 1.0.2, https://cran.r-project.org/web/packages/DSAM. Accessed 23 Feb. 2025.
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functions and examples
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