StrucMat: Generate Structure Matrix in gscca
In DongyueXie/scca: Sparse Canonical Correlation Analysis - Intergrated Methods
Description
Usage
Arguments
Value
Description
Generate Structure Matrix in gscca
Usage
1
Arguments
edges:
the edges of graph structure, see peacakge igraph
x:
data matrix
plain:
whether using weighted penalty. If True, the penalty is $\Sigma |\beta_i-\beta_j|$. If false, the peanlty is $\Sigma |r_ij||\beta_i-sign(r_ij)\beta_j|$.
Value
structure matrix, D
DongyueXie/scca documentation built on May 29, 2019, 2:37 p.m.
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Description Usage Arguments Value
Description
Generate Structure Matrix in gscca
Usage
1 |
Arguments
edges: |
the edges of graph structure, see peacakge igraph |
x: |
data matrix |
plain: |
whether using weighted penalty. If True, the penalty is $\Sigma |\beta_i-\beta_j|$. If false, the peanlty is $\Sigma |r_ij||\beta_i-sign(r_ij)\beta_j|$. |
Value
structure matrix, D
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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