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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 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)
The overall documentation is available at
help(OneStep)
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.