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 resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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