Packaged: 2021-10-09 21:55:47 UTC; hengshiyu

Title: Fit Generalized Estimating Equations
Description: Allows generalized estimating equation fits with
user-specified link and variance functions.

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

Title: Solve Generalized Estimating Equations
person("Nick", "Henderson", role = "aut"),
person("Melanie", "Prague", role = "ctb",comment = "Suggested code to fix weighting"))
Melanie Prague [ctb] (Suggested code to fix weighting)
Description: 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

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

Author: Lee S. McDaniel and Nick Henderson

Description: 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.

Package: geeasy
Type: Package
Title: Solve Generalized Estimating Equations for Clustered Data
Version: 0.1.1
Authors@R: 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"))
Date: 2022-01-03
Maintainer: Søren Højsgaard <sorenh@math.aau.dk>
Depends: geepack, stats
Imports: ggplot2, geeM, lme4, methods, Matrix, MESS
Suggests: testthat, MuMIn
Description: 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'.
License: GPL-3
RoxygenNote: 7.1.2
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2022-01-05 09:41:28 UTC; sorenh
Author: 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)
Repository: CRAN
Date/Publication: 2022-01-06 09:50:05 UTC