pith. sign in

arxiv: 1709.01413 · v2 · pith:OJ5UXZTAnew · submitted 2017-09-05 · 📊 stat.AP

The Calculus of M-estimation in R with geex

classification 📊 stat.AP
keywords m-estimationestimatingpackagevarianceapplicableasymptoticbooscalculus
0
0 comments X
read the original abstract

M-estimation, or estimating equation, methods are widely applicable for point estimation and asymptotic inference. In this paper, we present an R package that can find roots and compute the empirical sandwich variance estimator for any set of user-specified, unbiased estimating equations. Examples from the M-estimation primer by Stefanski and Boos (2002) demonstrate use of the software. The package also includes a framework for finite sample variance corrections and a website with an extensive collection of tutorials.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.