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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 "The Calculus of M-Estimation in R with geex" by Saul & Hudgens (2020) <doi:10.18637/jss.v092.i02>. Also provides an API to compute finite-sample variance corrections.
Version: | 1.1.1 |
Depends: | R (≥ 3.3) |
Imports: | Matrix (≥ 1.2-6), rootSolve (≥ 1.6.6), numDeriv (≥ 2014.2-1), lme4 (≥ 1.1-12), methods (≥ 3.3) |
Suggests: | testthat, knitr, dplyr, moments, sandwich, inferference, xtable, AER, ICSNP, MASS, gee, saws, rmarkdown, geepack, covr, mvtnorm |
Published: | 2022-08-08 |
DOI: | 10.32614/CRAN.package.geex |
Author: | Bradley Saul [aut, cre], Brian Barkley [ctb] |
Maintainer: | Bradley Saul <bradleysaul at gmail.com> |
BugReports: | https://github.com/bsaul/geex/issues |
License: | MIT + file LICENSE |
URL: | https://github.com/bsaul/geex, https://bsaul.github.io/geex/ |
NeedsCompilation: | no |
Citation: | geex citation info |
Materials: | NEWS |
CRAN checks: | geex results |
Package source: | geex_1.1.1.tar.gz |
Windows binaries: | r-devel: geex_1.1.1.zip, r-release: geex_1.1.1.zip, r-oldrel: geex_1.1.1.zip |
macOS binaries: | r-release (arm64): geex_1.1.1.tgz, r-oldrel (arm64): geex_1.1.1.tgz, r-release (x86_64): geex_1.1.1.tgz, r-oldrel (x86_64): geex_1.1.1.tgz |
Old sources: | geex archive |
Reverse depends: | REMLA |
Reverse imports: | RCTrep |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.