SOMPLEX {DSAM}R Documentation

'DSAM' - SOMPLEX algorithm

Description

SOMPLEX algorithm is a stochastic algorithm, with details given in Chen et al. (2022) and Zheng et al. (2023)

Usage

SOMPLEX(data, control)

Arguments

data

The dataset should be matrix or Data.frame. The format should be as follows: Column one is a subscript vector used to mark each data point (each row is considered as a data point); Columns from 2 to N-1 are the input data, and Column N are the output data.

control

User-defined parameter list, where each parameter definition refers to the par.default function.

Value

Return the training, test and validation subsets. If the original data are required to be split into two subsets, the training and test subsets can be combined into a single calibration subset.

References

Chen, J., Zheng F., May R., Guo D., Gupta H., and Maier H. R.(2022), Improved data splitting methods for data-driven hydrological model development based on a large number of catchment samples, Journal of Hydrology, 613.


[Package DSAM version 1.0.2 Index]