MSE_lambda_rank: Compute MSE for different ranks of the coefficient Bhat and...
In rrda: Ridge Redundancy Analysis for High-Dimensional Omics Data
MSE_lambda_rank R Documentation
Compute MSE for different ranks of the coefficient Bhat and lambda.
Description
For cross-validation, compute MSE for different ranks of the coefficient Bhat and lambda.
Usage
MSE_lambda_rank(Bhat_comp_1L, X, Y, nrank)
Arguments
Bhat_comp_1L
A list containing components of Bhat.
X
A numeric matrix of explanatory variables.
Y
A numeric matrix of response variables.
nrank
A numeric vector indicating the rank(s) of Bhat.
Value
A numeric vector of MSE values for each rank.
rrda documentation built on June 8, 2025, 12:09 p.m.
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| MSE_lambda_rank | R Documentation |
Compute MSE for different ranks of the coefficient Bhat and lambda.
Description
For cross-validation, compute MSE for different ranks of the coefficient Bhat and lambda.
Usage
MSE_lambda_rank(Bhat_comp_1L, X, Y, nrank)
Arguments
Bhat_comp_1L |
A list containing components of Bhat. |
X |
A numeric matrix of explanatory variables. |
Y |
A numeric matrix of response variables. |
nrank |
A numeric vector indicating the rank(s) of Bhat. |
Value
A numeric vector of MSE values for each rank.
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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