svdsml: Take the SML prediction of multiple predictions using the SVD...
In rturn/BMI-826-Project: Spectral Meta Learner
View source: R/spectralmetalearning.R
svdsml R Documentation
Take the SML prediction of multiple predictions using the SVD method.
Description
Take the SML prediction of multiple predictions using the SVD method.
Usage
svdsml(predictors)
Arguments
predictors
A matrix of predictors, with the group as the row, and predictions as the columns
Value
The SML combined prediction of the predictors
See Also
eigensml
Examples
## Not run: prediction = svdsml(multiplePredictions)
rturn/BMI-826-Project documentation built on July 31, 2023, 3:43 p.m.
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View source: R/spectralmetalearning.R
| svdsml | R Documentation |
Take the SML prediction of multiple predictions using the SVD method.
Description
Take the SML prediction of multiple predictions using the SVD method.
Usage
svdsml(predictors)
Arguments
predictors |
A matrix of predictors, with the group as the row, and predictions as the columns |
Value
The SML combined prediction of the predictors
See Also
eigensml
Examples
## Not run: prediction = svdsml(multiplePredictions)
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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