mde

0th

Percentile

mde

Calculates the Median error (MdE) from observed and predicted values.

Usage
mde(o, p)
Arguments
o

A numeric vector. Observed values.

p

A numeric vector. Predicted values.

Details

Interpretation: smaller is better. Similar to mean error (bias) but less sensitive to large errors. Sometimes called bias.

Value

Median error (MdE)

References

Piikki K., Wetterlind J., Soderstrom M., Stenberg B. (2021). Perspectives on validation in digital soil mapping of continuous attributes. A review. Soil Use and Management. 10.1111/sum.12694

Aliases
  • mde
Examples
# NOT RUN {
obs<-c(1:10)
pred<-c(1, 1 ,3, 2, 4, 5, 6, 8, 7, 10)
mde(o=obs, p=pred)

# }
Documentation reproduced from package valmetrics, version 1.0.0, License: MIT + file LICENSE

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