citrus.predict: Predict labels of new feature set
In ParkerICI/kumquat: Identification of stratifying subpopulations in Flow Cytometry Data (based on the Citrus package)
Description
Usage
Arguments
Value
Author(s)
Description
Predict labels of new feature set
Usage
1
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5
citrus.predict.classification(citrus.endpointModel, newFeatures)
citrus.predict.continuous(citrus.endpointModel, newFeatures)
citrus.predict(citrus.endpointModel, newFeatures)
Arguments
citrus.endpointModel
A citrus.endpointModel object.
newFeatures
Features from samples to predict labels for.
Value
Matrix of predicted sample endpoints at all model regularization thresholds.
Author(s)
Robert Bruggner
ParkerICI/kumquat documentation built on Dec. 18, 2021, 6:40 a.m.
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Description Usage Arguments Value Author(s)
Description
Predict labels of new feature set
Usage
1 2 3 4 5 | citrus.predict.classification(citrus.endpointModel, newFeatures)
citrus.predict.continuous(citrus.endpointModel, newFeatures)
citrus.predict(citrus.endpointModel, newFeatures)
|
Arguments
citrus.endpointModel |
A |
newFeatures |
Features from samples to predict labels for. |
Value
Matrix of predicted sample endpoints at all model regularization thresholds.
Author(s)
Robert Bruggner
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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