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OneStep: Le Cam's One-Step Estimation

OneStep provides 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

The package

The stable version of OneStep can be installed from CRAN using:

install.packages("OneStep")

Finally load the package in your current R session with the following R command:

library(OneStep)

Documentation

The overall documentation is available at

help(OneStep)

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Version

Install

install.packages('OneStep')

Monthly Downloads

200

Version

0.9.4

License

GPL (>= 2)

Maintainer

Christophe Dutang

Last Published

October 17th, 2024

Functions in OneStep (0.9.4)

onestep

Executing Le Cam's one-step estimation
OneStep-package

tools:::Rd_package_title("OneStep")
benchonestep

Performing benchmark of one-step MLE against other methods