OneStep-package | R Documentation |
Provide principally an eponymic function that numerically computes the Le Cam's one-step estimator for an independent and identically distributed sample. One-step estimation is asymptotically efficient (see L. Le Cam (1956) <https://projecteuclid.org/euclid.bsmsp/1200501652>) and can be computed faster than the maximum likelihood estimator for large observation samples, see e.g. Brouste et al. (2021) <doi:10.32614/RJ-2021-044>.
The DESCRIPTION file:
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Alexandre Brouste [aut] (<https://orcid.org/0000-0001-6719-7432>), Christophe Dutang [aut, cre] (<https://orcid.org/0000-0001-6732-1501>), Darel Noutsa Mieniedou [ctb]
Maintainer: Christophe Dutang <dutangc@gmail.com>
L. LeCam (1956). On the asymptotic theory of estimation and testing hypothesis. In: Proceedings of 3rd Berkeley Symposium I, pages 355-368.
See fitdistrplus
for classic MLE, MME,...
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