rmse_glmnet: Compute prediction errors
In abichat/zazou: Z-Scores As Ornstein-Uhlenbeck
Description
Usage
Arguments
Value
View source: R/method_scoresystem.R
Description
Compute prediction errors
Usage
1
rmse_glmnet(c, K, dataselects, X, lambdas)
Arguments
c
Column to use.
K
Number of batches.
dataselects
Batches.
X
Matrix to pseudo orthogonalize of size m*(n+m).
lambdas
Numeric vector of lambda to test.
Value
Matrix of errors per lambda and batch.
abichat/zazou documentation built on Sept. 8, 2021, 6:53 a.m.
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Description Usage Arguments Value
View source: R/method_scoresystem.R
Description
Compute prediction errors
Usage
1 | rmse_glmnet(c, K, dataselects, X, lambdas)
|
Arguments
c |
Column to use. |
K |
Number of batches. |
dataselects |
Batches. |
X |
Matrix to pseudo orthogonalize of size m*(n+m). |
lambdas |
Numeric vector of lambda to test. |
Value
Matrix of errors per lambda and batch.
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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