Allows generalized estimating equation fits with
user-specified link and variance functions.

Allows generalized estimating equation fits with user-specified link and variance functions.

c(person("Lee", "McDaniel", role = c("aut", "cre"),email = "lmcda4@lsuhsc.edu"),
person("Nick", "Henderson", role = "aut"),
person("Melanie", "Prague", role = "ctb",comment = "Suggested code to fix weighting"))
Lee McDaniel [aut, cre],
Nick Henderson [aut],
Melanie Prague [ctb] (Suggested code to fix weighting)
GEE estimation of the parameters in mean structures with possible
correlation between the outcomes. User-specified mean link and variance
functions are allowed, along with observation weighting. The "M" in the name
"geeM" is meant to emphasize the use of the Matrix package, which allows for an
implementation based fully in R.

GEE estimation of the parameters in mean structures with possible
correlation between the outcomes. User-specified mean link and variance
functions are allowed, along with observation weighting. The 'M' in the name
'geeM' is meant to emphasize the use of the Matrix package, which allows for an
implementation based fully in R.

GEE estimation of the parameters in mean structures with possible correlation between the outcomes. User-specified mean link and variance functions are allowed, along with observation weighting.  The "M" in the name "geeM" is meant to emphasize the use of the Matrix package, which allows for an implementation based fully in R.

Solve Generalized Estimating Equations for Clustered Data
c(person("Anne Helby", "Petersen", role = c("aut"), email = "ahpe@sund.ku.dk"),
person("Lee", "McDaniel", role = "aut", comment = "Author of geeM"),
person("Claus", "Ekstrøm", role = "ctb", comment = "Wrote code for drop1 methods"),
person("Søren", "Højsgaard", role = c("aut", "cre"), email="sorenh@math.aau.dk", comment = "Author of geepack"))
ggplot2, geeM, lme4, methods, Matrix, MESS
Estimation of generalized linear models with
correlated/clustered observations by use of generalized estimating
equations (GEE). See e.g. Halekoh and Højsgaard, (2005,
<doi:10.18637/jss.v015.i02>), for details. Several types of
clustering are supported, including exchangeable variance
structures, AR1 structures, M-dependent, user-specified variance
structures and more. The model fitting computations are performed
using modified code from the 'geeM' package, while the interface
and output objects have been written to resemble the 'geepack'
package. The package also contains additional tools for working
with and inspecting results from the 'geepack' package, e.g. a
'confint' method for 'geeglm' objects from 'geepack'.
Anne Helby Petersen [aut],
Lee McDaniel [aut] (Author of geeM),
Claus Ekstrøm [ctb] (Wrote code for drop1 methods),
Søren Højsgaard [aut, cre] (Author of geepack)