L1_CCA_with_sparsity_bound: L1-penalized SCCA with sparsity bounds
In agisga/FDRcorrectedSCCA: FDR-Corrected Sparse Canonical Correlation Analysis
Description
L1-penalized SCCA with prespecified sparsity levels for the coefficient vectors
Usage
1
2
L1_CCA_with_sparsity_bound(X, Y, bound_X, bound_Y, tolerance, verbose = FALSE,
max_iter = 100)
Details
Sparse CCA with L1 penalty is performed repeatedly, while the tuning
parameters are optimized to yield a result that is close to a
prespecified sparsity
agisga/FDRcorrectedSCCA documentation built on May 20, 2019, 6:45 p.m.
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Description
L1-penalized SCCA with prespecified sparsity levels for the coefficient vectors
Usage
1 2 | L1_CCA_with_sparsity_bound(X, Y, bound_X, bound_Y, tolerance, verbose = FALSE,
max_iter = 100)
|
Details
Sparse CCA with L1 penalty is performed repeatedly, while the tuning parameters are optimized to yield a result that is close to a prespecified sparsity
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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