The Calculus of M-estimation in R with geex
classification
📊 stat.AP
keywords
m-estimationestimatingpackagevarianceapplicableasymptoticbooscalculus
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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.
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