permCCA: Permutation Test for Regularaized Sparse Canonical Covariates...
In mortenarendt/StructuralKnowledgeModl: Incorporation of Structural Knowledge in Multivariate Models
Description
This functions calculates a CCA model with L1 norm sparse penalties on the canonical loadings, as well as L2 norm penalties on the structural loadings in Y.
Usage
1
permCCA(X, Y, R, ncomp = 1, nperm = 100, sumabs)
Arguments
X
a n by px matrix
Y
a n by py matrix
R
a py by py symmetric matrix indicating strucural relationship between features in Y.
ncomp
scalar - number of components
nperm
scalar = 100 (default) number of permutations to be perfomed
sumabs
1 by 2 vector of L1 contraint on the canonical loadings u and v respectively
mortenarendt/StructuralKnowledgeModl documentation built on May 21, 2019, 11:42 a.m.
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Description
This functions calculates a CCA model with L1 norm sparse penalties on the canonical loadings, as well as L2 norm penalties on the structural loadings in Y.
Usage
1 | permCCA(X, Y, R, ncomp = 1, nperm = 100, sumabs)
|
Arguments
X |
a n by px matrix |
Y |
a n by py matrix |
R |
a py by py symmetric matrix indicating strucural relationship between features in Y. |
ncomp |
scalar - number of components |
nperm |
scalar = 100 (default) number of permutations to be perfomed |
sumabs |
1 by 2 vector of L1 contraint on the canonical loadings u and v respectively |
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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