ee.GEE: GEE estimating functions

In threeboost: Thresholded variable selection and prediction based on estimating equations

Description

Internal functions for computing the GEE. Should generally not be called by user.

Usage

ee.GEE(Y, X, b, mu.Y, g.Y, v.Y, aux, id = 1:length(Y),
  uid = sort(unique(id)), rows.indivs = lapply(uid, function(j) {    
  which(id == j) }), corstr = "ind")

ee.GEE.aux(Y, X, b, mu.Y, g.Y, v.Y, id = 1:length(Y),
  uid = sort(unique(id)), rows.indivs = lapply(uid, function(j) {    
  which(id == j) }))

Arguments

Y	Vector of (correlated) outcomes
X	Matrix of predictors
b	Vector of coefficients
mu.Y	Mean function
g.Y	Link function (inverse of mean function)
v.Y	Variance function
aux	Auxiliary function for coputing (co)variance parameters
id	Vector of cluster IDs
uid	Vector of unique subject IDs
rows.indivs	List of rows of X corresponding to each subject ID
corstr	Working correlation structure

Functions

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threeboost documentation built on May 2, 2019, 2:37 a.m.