geelm.control: Control estimation of GEE models

In geeasy: Solve Generalized Estimating Equations for Clustered Data

Control estimation of GEE models

Description

Settings for controlling technical details of GEE fitting via geelm.

Usage

geelm.control(
  init.beta = NULL,
  init.phi = 1,
  tol = 1e-05,
  maxit = 20,
  scale.fix = FALSE,
  useP = TRUE,
  std.err = "san.se"
)

Arguments

init.beta	an optional vector with the initial values of beta. If not specified, then the intercept will be set to InvLink(mean(response)). init.beta must be specified if not using an intercept.
init.phi	an optional initial overdispersion parameter. If not supplied, initialized to 1.
tol	Tolerance for asserting convergence.
maxit	integer giving the maximal number of Fisher Scoring iteration.
scale.fix	logical indicating if the scale should be fixed.
useP	If set to FALSE, do not use the n-p correction for dispersion and correlation estimates. This can be useful when the number of observations is small, as subtracting p may yield correlations greater than 1.
std.err	Character string specifying which standard error estimation method should be used. Supported options are san.se (sandwich SE) and naive.

Value

A list of values used for controlling model fitting.

geeasy documentation built on June 22, 2024, 11:56 a.m.