cobra_internal: Convex Biclustering via Dykstra-like Proximal Algorithm
In cvxbiclustr: Convex Biclustering Algorithm
Description
cobra_internal is an R wrapper around C code.
Usage
1
2
cobra_internal(X, Lambda_row, Lambda_col, E_row, E_col, w_row, w_col, gamma,
max_iter = 100, tol = 0.001)
Arguments
X
Data matrix
Lambda_row
Initial guess of row Langrage multipliers
Lambda_col
Initial guess of column Langrage multipliers
E_row
Edge-incidence matrix for row graph
E_col
Edge-incidence matrix for column graph
w_row
Vector of weights for row graph
w_col
Vector of weights for column graph
gamma
Regularization parameter for shrinkage
max_iter
Maximum number of AMA iterations
tol
stopping tolerance
cvxbiclustr documentation built on May 2, 2019, 9:34 a.m.
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Description
cobra_internal is an R wrapper around C code.
Usage
1 2 | cobra_internal(X, Lambda_row, Lambda_col, E_row, E_col, w_row, w_col, gamma,
max_iter = 100, tol = 0.001)
|
Arguments
X |
Data matrix |
Lambda_row |
Initial guess of row Langrage multipliers |
Lambda_col |
Initial guess of column Langrage multipliers |
E_row |
Edge-incidence matrix for row graph |
E_col |
Edge-incidence matrix for column graph |
w_row |
Vector of weights for row graph |
w_col |
Vector of weights for column graph |
gamma |
Regularization parameter for shrinkage |
max_iter |
Maximum number of AMA iterations |
tol |
stopping tolerance |
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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