rmsep: Root MSE of Prediction
In selbouhaddani/OmicsPLS: Data Integration with Two-Way Orthogonal Partial Least Squares
rmsep R Documentation
Root MSE of Prediction
Description
Calculates the Root MSE of prediction on test data. Only tested to work inside loocv.
Usage
rmsep(Xtst, Ytst, fit, combi = FALSE)
Arguments
Xtst
Numeric vector or matrix.
Ytst
Numeric vector or matrix.
fit
o2m fit (on data without Xtst and Ytst).
combi
Logical. Should the symmetrized MSE be used, i.e. add both MSEs. Not yet implemented, but see rmsep_combi
Details
This function is the building block for loocv, as it produced the prediction error for test (left out) data.
Value
Mean squares difference between predicted Y and true Y
selbouhaddani/OmicsPLS documentation built on Aug. 25, 2022, 9:52 p.m.
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| rmsep | R Documentation |
Root MSE of Prediction
Description
Calculates the Root MSE of prediction on test data. Only tested to work inside loocv.
Usage
rmsep(Xtst, Ytst, fit, combi = FALSE)
Arguments
Xtst |
Numeric vector or matrix. |
Ytst |
Numeric vector or matrix. |
fit |
|
combi |
Logical. Should the symmetrized MSE be used, i.e. add both MSEs. Not yet implemented, but see |
Details
This function is the building block for loocv, as it produced the prediction error for test (left out) data.
Value
Mean squares difference between predicted Y and true Y
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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