rmse_like: Compute the Root-Mean-Squared Error Statistics
In wfarmer-usgs/PUBAD: Appliles and Analyzes Several Methods for Prediction in Ungaged Basins

The function rmse_like computes a series of statistics related to the root-mean-squared error.

1	rmse_like(Obs, Est, MARGIN = 2)

`Obs`	A matrix of observations.
`Est`	A matrix of estimates. Must be of the same dimensions as `Obs`.
`MARGIN`	(optional) The margin across which to compute the efficiencies. The default is to compute an efficiency for each column (`MARGIN=2`).

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A matrix containing:

`rmse`	Root-mean-squared error.
`rmsne`	Root-mean-square-normalized error.
`cvrmse`	The coefficient of variation of the root-mean-squared error.
`nrmse`	Normalized root-mean-squared error.

wfarmer-usgs/PUBAD documentation built on May 4, 2019, 5:21 a.m.

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