update.beta: Update beta vector

Description Usage Arguments Value

Description

This function uses the SGL package to minimize the augmented Lagrangian with respect to beta.

Usage

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## S3 method for class 'beta'
update(y, Z, n, p, mu, alpha, xi, lambda, theta, groups)

Arguments

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

Value

Updated beta vector


aplantin/CSGL documentation built on May 21, 2019, 12:08 p.m.