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sgee
View on CRAN: Click
here
Download and install sgee package within the R console
Install from CRAN:
install.packages("sgee")
Install from Github:
library("remotes")
install_github("cran/sgee") Install by package version:
library("remotes")
install_version("sgee", "0.6-0") Attach the package and use:
library("sgee")
Maintained by
Gregory Vaughan
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-10-17
Latest Update: 2018-01-08
Description:
Stagewise techniques implemented with Generalized Estimating Equations to handle individual, group, bi-level, and interaction selection. Stagewise approaches start with an empty model and slowly build the model over several iterations, which yields a 'path' of candidate models from which model selection can be performed. This 'slow brewing' approach gives stagewise techniques a unique flexibility that allows simple incorporation of Generalized Estimating Equations; see Vaughan, G., Aseltine, R., Chen, K., Yan, J., (2017) for details.
How to cite:
Gregory Vaughan (2016). sgee: Stagewise Generalized Estimating Equations. R package version 0.6-0, https://cran.r-project.org/web/packages/sgee. Accessed 08 Mar. 2026.
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Other R packages that sgee depends,
imports, suggests or enhances
Complete documentation for sgee
Functions, R codes and Examples using
the sgee R package
Some associated functions: bisee . deltaFinder . deltaValue . genCorMat . genData . hisee . isee . miniSim . plot.sgee . print.sgee . print.sgeeSummary . samplingDistCalculation . see . sgee-package . sgee.control . subsample . summary.sgee .
Some associated R codes: bisee.R . deltaFinder.R . deltaValue.R . evaluateGEE.R . genCorMat.R . genData.R . gsee.R . hisee.R . isee.R . miniSim.R . plot.sgee.R . print.sgee.R . print.sgeeSummary.R . samplingDistCalculation.R . see.R . sgee-package.R . sgee.control.R . subsample.R . summary.sgee.R . Full sgee package functions and examples
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