GET_lambda: Compute penalty parameter
In pmesperanca/mlevcm: ML-based Epidemiological Vector Control Monitoring using FDA techniques for NIRS data
Description
Usage
Arguments
Value
View source: R/fdaAuxFunctions.R
Description
Compute penalty parameter lambda by either ordinary
cross-validation (OCV) or generalised cross-validation (GCV).
Usage
1
GET_lambda(XBD_trainQ, XBD_validQ, y_train, y_valid, optionsEst)
Arguments
XBD_trainQ
Training predictor matrix.
XBD_validQ
Validation predictor matrix.
y_train
Training response vector
y_valid
Validation response matrix.
optionsEst
List of options for estimation.
Value
The value of the penalty parameter lambda.
pmesperanca/mlevcm documentation built on March 17, 2021, 10:03 p.m.
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Description Usage Arguments Value
View source: R/fdaAuxFunctions.R
Description
Compute penalty parameter lambda by either ordinary
cross-validation (OCV) or generalised cross-validation (GCV).
Usage
1 | GET_lambda(XBD_trainQ, XBD_validQ, y_train, y_valid, optionsEst)
|
Arguments
XBD_trainQ |
Training predictor matrix. |
XBD_validQ |
Validation predictor matrix. |
y_train |
Training response vector |
y_valid |
Validation response matrix. |
optionsEst |
List of options for estimation. |
Value
The value of the penalty parameter lambda.
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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