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OneStep  

One-Step Estimation
View on CRAN: Click here


Download and install OneStep package within the R console
Install from CRAN:
install.packages("OneStep")

Install from Github:
library("remotes")
install_github("cran/OneStep")

Install by package version:
library("remotes")
install_version("OneStep", "0.9.4")



Attach the package and use:
library("OneStep")
Maintained by
Christophe Dutang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-07-13
Latest Update: 2024-10-17
Description:
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) .
How to cite:
Christophe Dutang (2020). OneStep: One-Step Estimation. R package version 0.9.4, https://cran.r-project.org/web/packages/OneStep. Accessed 05 Jun. 2026.
Previous versions and publish date:
0.9.0 (2020-07-13 12:00), 0.9.1 (2020-09-16 22:40), 0.9.2 (2021-01-15 22:50), 0.9.3 (2024-02-23 13:40)
Other packages that cited OneStep R package
View OneStep citation profile
Other R packages that OneStep depends, imports, suggests or enhances
Complete documentation for OneStep
Functions, R codes and Examples using the OneStep R package
Some associated functions: OneStep-package . benchonestep . onestep . 
Some associated R codes: benchonestep-replicate.R . benchonestep.R . onestep-closedform.R . onestep-generic.R . onestep.R . util-checkparamlist.R .  Full OneStep package functions and examples
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