msaenet.mae: Mean Absolute Error (MAE)
In road2stat/msaenet: Multi-Step Adaptive Estimation Methods for Sparse Regressions
msaenet.mae R Documentation
Mean Absolute Error (MAE)
Description
Compute mean absolute error (MAE).
Usage
msaenet.mae(yreal, ypred)
Arguments
yreal
Vector. True response.
ypred
Vector. Predicted response.
Value
MAE
Author(s)
Nan Xiao <https://nanx.me>
road2stat/msaenet documentation built on March 4, 2024, 10:12 p.m.
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| msaenet.mae | R Documentation |
Mean Absolute Error (MAE)
Description
Compute mean absolute error (MAE).
Usage
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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