mclC: mclC
In aplantin/MCL: Fits multilevel compositional lasso
Description
Runs my multilevel compositional lasso
Usage
1
mclC(Z, W, y, facZ, facW, groups, groupIdx, mu, lam1, lam2, thresh, maxit)
Arguments
Z
OTU matrix (group level)
W
OTU matrix (within-group level)
y
Vector of outcomes
facZ
Scaling factors for Z
facW
Scaling factors for W
groups
Vector of group membership
groupIdx
List of feature indices in each group
mu
Lagrange scaling parameter
lam1
Lambda for group-level lasso penalty
lam2
Lambda for within-group lasso penalty
thresh
Parameter defining convergence
maxit
Maximum number of iterations allowed
aplantin/MCL documentation built on May 25, 2019, 2:26 p.m.
R Package Documentation
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Description
Runs my multilevel compositional lasso
Usage
1 | mclC(Z, W, y, facZ, facW, groups, groupIdx, mu, lam1, lam2, thresh, maxit)
|
Arguments
Z |
OTU matrix (group level) |
W |
OTU matrix (within-group level) |
y |
Vector of outcomes |
facZ |
Scaling factors for Z |
facW |
Scaling factors for W |
groups |
Vector of group membership |
groupIdx |
List of feature indices in each group |
mu |
Lagrange scaling parameter |
lam1 |
Lambda for group-level lasso penalty |
lam2 |
Lambda for within-group lasso penalty |
thresh |
Parameter defining convergence |
maxit |
Maximum number of iterations allowed |
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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