cv.np: Calculate prodiction MSE for nonparametric method
In SurrogateBMA: Flexible Evaluation of Surrogate Markers with Bayesian Model Averaging
View source: R/SurrogateBMA_functions.R
cv.np R Documentation
Calculate prodiction MSE for nonparametric method
Description
Function to calculate prodiction MSE for nonparametric method.
Usage
cv.np(Y, S, A, Ytest, Stest, Atest)
Arguments
Y
S
A
Ytest
Stest
Atest
Value
a numeric value; MSE in cross-validation.
Author(s)
Yunshan Duan
References
Duan, Y. and Parast, L., 2023. Flexible evaluation of surrogate markers with Bayesian model averaging. Statistics in Medicine.
SurrogateBMA documentation built on May 29, 2024, 8:55 a.m.
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View source: R/SurrogateBMA_functions.R
| cv.np | R Documentation |
Calculate prodiction MSE for nonparametric method
Description
Function to calculate prodiction MSE for nonparametric method.
Usage
cv.np(Y, S, A, Ytest, Stest, Atest)
Arguments
Y |
|
S |
|
A |
|
Ytest |
|
Stest |
|
Atest |
Value
a numeric value; MSE in cross-validation.
Author(s)
Yunshan Duan
References
Duan, Y. and Parast, L., 2023. Flexible evaluation of surrogate markers with Bayesian model averaging. Statistics in Medicine.
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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