OneStep: One-Step Estimation

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) <>) 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>.

Version: 0.9.3
Depends: fitdistrplus, numDeriv, parallel, extraDistr
Suggests: actuar
Published: 2024-02-23
DOI: 10.32614/CRAN.package.OneStep
Author: Alexandre Brouste ORCID iD [aut], Christophe Dutang ORCID iD [aut, cre], Darel Noutsa Mieniedou [ctb]
Maintainer: Christophe Dutang <christophe.dutang at>
Contact: Alexandre Brouste, Christophe Dutang <>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: OneStep citation info
Materials: NEWS
In views: Distributions
CRAN checks: OneStep results


Reference manual: OneStep.pdf


Package source: OneStep_0.9.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): OneStep_0.9.3.tgz, r-oldrel (arm64): OneStep_0.9.3.tgz, r-release (x86_64): OneStep_0.9.3.tgz, r-oldrel (x86_64): OneStep_0.9.3.tgz
Old sources: OneStep archive


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