fn_elasticnet: Computes an elastic net model
In biomedbigdata/SPONGE: Sparse Partial Correlations On Gene Expression
View source: R/fn_elastic_net.R
fn_elasticnet R Documentation
Computes an elastic net model
Description
Computes an elastic net model
Usage
fn_elasticnet(x, y, alpha.step = 0.1)
Arguments
x
miRNA expression matrix
y
gene expression vector
alpha.step
Step size for alpha, the tuning parameter for elastic net.
Value
The best model, i.e. the one for which the selected alpha yielded the
smallest residual sum of squares error
biomedbigdata/SPONGE documentation built on Feb. 6, 2023, 10:19 p.m.
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View source: R/fn_elastic_net.R
| fn_elasticnet | R Documentation |
Computes an elastic net model
Description
Computes an elastic net model
Usage
fn_elasticnet(x, y, alpha.step = 0.1)
Arguments
x |
miRNA expression matrix |
y |
gene expression vector |
alpha.step |
Step size for alpha, the tuning parameter for elastic net. |
Value
The best model, i.e. the one for which the selected alpha yielded the smallest residual sum of squares error
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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