geeasy: Solve Generalized Estimating Equations for Clustered Data
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'.
| Version: |
0.1.1 |
| Depends: |
geepack, stats |
| Imports: |
ggplot2, geeM, lme4, methods, Matrix, MESS |
| Suggests: |
testthat, MuMIn |
| Published: |
2022-01-06 |
| 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) |
| Maintainer: |
Søren Højsgaard <sorenh at math.aau.dk> |
| License: |
GPL-3 |
| NeedsCompilation: |
no |
| Language: |
en-US |
| Citation: |
geeasy citation info |
| Materials: |
README NEWS |
| CRAN checks: |
geeasy results |
Documentation:
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