RidgeSolver: Create a Solver class object using the Ridge solver
In TReNA: Fit transcriptional regulatory networks using gene expression, priors, machine learning
Description
Usage
Arguments
Value
See Also
Examples
Description
Create a Solver class object using the Ridge solver
Usage
1
RidgeSolver(mtx.assay = matrix(), quiet = TRUE)
Arguments
mtx.assay
An assay matrix of gene expression data
quiet
A logical denoting whether or not the solver should print output
Value
A Solver class object with Ridge as the solver
See Also
Other Solver class objects: BayesSpikeSolver,
EnsembleSolver,
LassoPVSolver, LassoSolver,
PearsonSolver,
RandomForestSolver,
Solver-class, SpearmanSolver,
SqrtLassoSolver
Examples
1
solver <- RidgeSolver()
TReNA documentation built on Nov. 17, 2017, 12:35 p.m.
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Description Usage Arguments Value See Also Examples
Description
Create a Solver class object using the Ridge solver
Usage
1 | RidgeSolver(mtx.assay = matrix(), quiet = TRUE)
|
Arguments
mtx.assay |
An assay matrix of gene expression data |
quiet |
A logical denoting whether or not the solver should print output |
Value
A Solver class object with Ridge as the solver
See Also
Other Solver class objects: BayesSpikeSolver,
EnsembleSolver,
LassoPVSolver, LassoSolver,
PearsonSolver,
RandomForestSolver,
Solver-class, SpearmanSolver,
SqrtLassoSolver
Examples
1 | solver <- RidgeSolver()
|
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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