msaenet.mse: Mean Squared Error (MSE)
In msaenet: Multi-Step Adaptive Estimation Methods for Sparse Regressions
msaenet.mse R Documentation
Mean Squared Error (MSE)
Description
Compute mean squared error (MSE).
Usage
msaenet.mse(yreal, ypred)
Arguments
yreal
Vector. True response.
ypred
Vector. Predicted response.
Value
MSE
Author(s)
Nan Xiao <https://nanx.me>
msaenet documentation built on May 29, 2024, 1:08 a.m.
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| msaenet.mse | R Documentation |
Mean Squared Error (MSE)
Description
Compute mean squared error (MSE).
Usage
msaenet.mse(yreal, ypred)
Arguments
yreal |
Vector. True response. |
ypred |
Vector. Predicted response. |
Value
MSE
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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