mincut_c: Min-cut algorithm
In hclimente/martini: GWAS Incorporating Networks
mincut_c R Documentation
Min-cut algorithm
Description
Run the mincut algorithm.
Usage
mincut_c(c, eta, lambda, W)
Arguments
c
A vector with the association of each SNP with the phenotype.
eta
A numeric with the value of the eta parameter.
lambda
A numeric with the value of the eta parameter.
W
A sparse matrix with the connectivity.
Value
A list with vector indicating if the feature was selected and the
objective score.
hclimente/martini documentation built on Feb. 26, 2024, 6:23 p.m.
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| mincut_c | R Documentation |
Min-cut algorithm
Description
Run the mincut algorithm.
Usage
mincut_c(c, eta, lambda, W)
Arguments
c |
A vector with the association of each SNP with the phenotype. |
eta |
A numeric with the value of the eta parameter. |
lambda |
A numeric with the value of the eta parameter. |
W |
A sparse matrix with the connectivity. |
Value
A list with vector indicating if the feature was selected and the objective score.
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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