Description Usage Arguments Value
This function uses the SGL package to minimize the augmented Lagrangian with respect to beta.
1 2 | ## S3 method for class 'beta'
update(y, Z, n, p, mu, alpha, xi, lambda, theta, groups)
|
y |
Outcome vector |
Z |
Matrix of log OTU proportions |
n |
Number of subjects (nrow(Z)) |
p |
Number of OTUs (ncol(Z)) |
mu |
Augmented Lagrangian parameter |
alpha |
p-vector of coefficients |
xi |
p-vector of Lagrange multipliers |
lambda |
Regularization parameter |
theta |
Defines convex combination between L1 and L2 penalties (theta = 1 is L1 only) |
groups |
Vector indicating group membership of each OTU |
Updated beta vector
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