geex: An API for M-Estimation

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 <doi:10.18637/jss.v092.i02>. Also provides an API to compute finite-sample variance corrections.

Version:	1.0.12
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, ivpack, saws, rmarkdown, geepack, covr, mvtnorm
Published:	2020-02-17
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

Documentation:

Reference manual:	geex.pdf
Vignettes:	Introduction to geex Calculus of M-estimation examples using geex A comparison of geex and sandwich for robust covariance estimation Root solvers in geex Using weights in geex Finite sample correction API Estimating causal parameters using geex The software design of geex

Downloads:

Package source:	geex_1.0.12.tar.gz
Windows binaries:	r-devel: geex_1.0.12.zip, r-release: geex_1.0.12.zip, r-oldrel: geex_1.0.12.zip
macOS binaries:	r-release (arm64): geex_1.0.12.tgz, r-oldrel (arm64): geex_1.0.12.tgz, r-release (x86_64): geex_1.0.12.tgz, r-oldrel (x86_64): geex_1.0.12.tgz
Old sources:	geex archive

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