gees_estimation: Fit (Weighted) Generalized Estimating Equations based on MCD

In gee4: Generalised Estimating Equations (GEE/WGEE) using 'Armadillo' and S4

Description

Fit (weighted) generalized estimating equations based on MCD.

Usage

gees_estimation(m, Y, X, Z, W, H, method, corrStruct, rho, start,
  trace = FALSE, profile = TRUE, errorMsg = FALSE)

Arguments

m	an integer vector of number of measurements for each subject.
Y	a vector of responses for all subjects.
X	model matrix for mean structure model.
Z	model matrix for the diagonal matrix.
W	model matrix for the lower triangular matrix.
H	a vector of weights used in WGEE-MCD.
method	choose 'gee-mcd' (Ye and Pan, 2006) or 'wgee-mcd' (Pan et al. 2012).
corrStruct	choose 'id' (independent), 'cs' (compound symmetry) or ar1' (AR(1)).
rho	a parameter used in the 'working' covariance structure.
start	starting values for the parameters in the model.
trace	the values of the objective function and the parameters are printed for all the trace'th iterations.
profile	whether parameters should be estimated sequentially using the idea of profile likelihood or not.
errorMsg	whether or not the error message should be print.

gee4 documentation built on May 2, 2019, 10:14 a.m.