| SS {DSAM} | R Documentation |
'DSAM' - SS algorithm
Description
The systematic stratified (SS) is a semi-deterministic method, with details given in Zheng et al. (2018).
Usage
SS(data, control)
Arguments
data |
The type of data set to be divided should be matrix or Data.frame, and the data format is as follows: The first column is a subscript vector, which is used to mark each data point (each row is regarded as a data point); Columns 2 through N-1 are the input vectors, and columns N (the last) are the output vectors. |
control |
User-defined parameter list, where each parameter definition refers to the |
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
Zheng, F., Maier, H.R., Wu, W., Dandy, G.C., Gupta, H.V. and Zhang, T. (2018) On Lack of Robustness in Hydrological Model Development Due to Absence of Guidelines for Selecting Calibration and Evaluation Data: Demonstration for Data‐Driven Models. Water Resources Research 54(2), 1013-1030.