mase: Compute Mean Absolute Scaled Error (MASE) to evaluate point...
In reichlab/kcde: Kernel conditional density estimation with flexible kernel specifications
Description
Compute Mean Absolute Scaled Error (MASE) to evaluate point predictions
Usage
1
mase(obs, pred)
Arguments
obs
vector of observed values
pred
vector of point predictions
reichlab/kcde documentation built on May 27, 2019, 4:53 a.m.
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Description
Compute Mean Absolute Scaled Error (MASE) to evaluate point predictions
Usage
1 | mase(obs, pred)
|
Arguments
obs |
vector of observed values |
pred |
vector of point predictions |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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