sGda: Prediction function
In SQDA: Sparse Quadratic Discriminant Analysis
Description
Usage
Arguments
Value
Description
Prediction function
Usage
1
Arguments
data
data matrix with column names being the class labels and row names being the genes.
data.new
the new data needs to be predicted.
lam
optimal lambda from cross-validation.
Value
returns a list object with following items.
pred
predictions for class labels on the new dataset
lik
likelihood of each class on the new dataset
SQDA documentation built on May 1, 2019, 7:29 p.m.
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Description Usage Arguments Value
Description
Prediction function
Usage
1 |
Arguments
data |
data matrix with column names being the class labels and row names being the genes. |
data.new |
the new data needs to be predicted. |
lam |
optimal |
Value
returns a list object with following items.
pred |
predictions for class labels on the new dataset |
lik |
likelihood of each class on the new dataset |
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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