msaenet.mae: Mean Absolute Error (MAE)
In msaenet: Multi-Step Adaptive Estimation Methods for Sparse Regressions
Description
Usage
Arguments
Value
Author(s)
Description
Compute mean absolute error (MAE).
Usage
1
msaenet.mae(yreal, ypred)
Arguments
yreal
Vector. True response.
ypred
Vector. Predicted response.
Value
MAE
Author(s)
Nan Xiao <https://nanx.me>
msaenet documentation built on May 18, 2019, 1:03 a.m.
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Description Usage Arguments Value Author(s)
Description
Compute mean absolute error (MAE).
Usage
1 | msaenet.mae(yreal, ypred)
|
Arguments
yreal |
Vector. True response. |
ypred |
Vector. Predicted response. |
Value
MAE
Author(s)
Nan Xiao <https://nanx.me>
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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