Generalized estimating equations solver for parameters in
mean, scale, and correlation structures, through mean link,
scale link, and correlation link. Can also handle clustered
categorical responses. See e.g. Halekoh and Højsgaard, (2005,
<doi:10.18637/jss.v015.i02>), for details.

c(
person(given = "Søren", family = "Højsgaard",
email = "sorenh@math.aau.dk", role = c("aut", "cre", "cph")),
person(given = "Ulrich", family = "Halekoh",
email = "uhalekoh@health.sdu.dk", role = c("aut", "cph")),
person(given = "Jun", family = "Yan",
email = "jun.yan@uconn.edu", role = c("aut", "cph")),
person(given = "Claus Thorn", family = "Ekstrøm",
email = "ekstrom@sund.ku.dk", role = c("ctb"))
)
Søren Højsgaard [aut, cre, cph],
Ulrich Halekoh [aut, cph],
Jun Yan [aut, cph],
Claus Thorn Ekstrøm [ctb]

Modified Variance Estimators for Generalized Estimating
Equations
Generalized estimating equations with the original sandwich variance estimator proposed by Liang and Zeger (1986), and eight types of more recent modified variance estimators for improving the finite small-sample performance.

c(person("Bradley", "Saul", role = c("aut", "cre"),
email = "bradleysaul@gmail.com"),
person("Brian", "Barkley", role = c("ctb")))
Bradley Saul [aut, cre],
Brian Barkley [ctb]
Provides a general, flexible framework for estimating parameters
and empirical sandwich variance estimator from a set of unbiased estimating
equations (i.e., M-estimation in the vein of Stefanski & Boos (2002)
<doi:10.1198/000313002753631330>). Also provides an API to compute finite-sample
variance corrections.
testthat, knitr, dplyr, moments, sandwich, inferference,
xtable, AER, ICSNP, MASS, gee, ivpack, saws, rmarkdown,
geepack, covr, mvtnorm

Provides a general, flexible framework for estimating parameters
and empirical sandwich variance estimator from a set of unbiased estimating
equations (i.e., M-estimation in the vein of Stefanski & Boos (2002)
<doi:10.1198/000313002753631330>). All examples from Stefanski & Boos (2002)
are published in the corresponding Journal of Statistical Software paper
<doi:10.18637/jss.v092.i02>. Also provides an API to compute finite-sample
variance corrections.