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) ). Also provides an API to compute finite-sample variance corrections.


Reference manual

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1.0.3 by Bradley Saul, 3 months ago,

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Authors: Bradley Saul [aut, cre], Brian Barkley [ctb]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports Matrix, rootSolve, numDeriv, lme4, methods

Suggests testthat, knitr, dplyr, moments, sandwich, inferference, xtable, AER, ICSNP, MASS, gee, ivpack, saws, rmarkdown, geepack, covr

See at CRAN