Package: DSAM 1.0.2

Junyi Chen

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>.

Authors:Feifei Zheng [aut, ths], Junyi Chen [aut, cre]

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NEWS

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Bug tracker:https://github.com/lark-max/dsam/issues

On CRAN:

5 exports 2 stars 0.93 score 78 dependencies 1 scripts 191 downloads

Last updated 8 months agofrom:d97f908d69. Checks:OK: 7. Indexed: yes.

Exports:dataSplitgetAUCgetMaxgetMeangetMin

Dependencies:caretclasscliclockcodetoolscolorspacecpp11data.tablediagramdigestdplyre1071fansifarverforeachfuturefuture.applygenericsggplot2globalsgluegowergtablehardhatipredisobanditeratorsjsonliteKernSmoothkohonenlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixmgcvModelMetricsmunsellnlmennetnumDerivparallellypillarpkgconfigplyrpROCprodlimprogressrproxypurrrR6RColorBrewerRcpprecipesreshape2rlangrpartscalesshapeSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewithrxgboost