| Literature DB >> 33859545 |
Bradley C Saul1, Michael G Hudgens2.
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, heteroscedastic, and autocorrelation variance corrections, and a website with an extensive collection of tutorials.Entities:
Keywords: M-estimation; R; empirical sandwich variance estimator; estimating equations; robust statistics
Year: 2020 PMID: 33859545 PMCID: PMC8046178 DOI: 10.18637/jss.v092.i02
Source DB: PubMed Journal: J Stat Softw ISSN: 1548-7660 Impact factor: 6.440