robVcov

A n x q matrix of the estimating equations evaluated at the estimated
  model parameters,
  where n is the number of observations and q is the number of estimating equations.

The mean of the jacobian of <code>U</code> evaluated at the solution to the
  estimating equations, with rows corresponding to the estimating
  equations and columns corresponding to the model parameters. The
  number of model parameters is assumed to equ

A factor with levels corresponding the clusters in the data. Default
  is <code>NULL</code> in which case all observations are considered to be independent.

<code>robVcov</code> calculates the asymptotic variance for Z-estimators.

robust

cluster

The package provides functions to estimate parameters quantifying
  an association between an exposure and an outcome in a generalized
  estimating equations model in the presence of nuisance variables. Three methods are implemented:
  outcome nuisance model based estimation where a model for the association
  between the nuisance factors and the outcome is assumed, exposure nuisance model
  based estimation where a model for the association between the nuisance factors
  and the exposure is assumed and doubly robust estimation where both models are
  used. In doubly robust estimation, the estimates will be consistent when
  at least one of the models are correctly specified, not necessarily both.

robVcov: Robust Variance Calculation

Description

Usage

Arguments

Value

encoding

Details

References