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) <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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.9.4 |
rolling linux/jammy R-4.5 | OneStep_0.9.4.tar.gz |
68.1 KiB |
0.9.4 |
rolling linux/noble R-4.5 | OneStep_0.9.4.tar.gz |
68.1 KiB |
0.9.4 |
rolling source/ R- | OneStep_0.9.4.tar.gz |
22.7 KiB |
0.9.4 |
latest linux/jammy R-4.5 | OneStep_0.9.4.tar.gz |
68.1 KiB |
0.9.4 |
latest linux/noble R-4.5 | OneStep_0.9.4.tar.gz |
68.1 KiB |
0.9.4 |
latest source/ R- | OneStep_0.9.4.tar.gz |
22.7 KiB |
0.9.4 |
2026-04-26 source/ R- | OneStep_0.9.4.tar.gz |
22.7 KiB |
0.9.4 |
2026-04-23 source/ R- | OneStep_0.9.4.tar.gz |
22.7 KiB |
0.9.4 |
2026-04-09 windows/windows R-4.5 | OneStep_0.9.4.zip |
70.6 KiB |
0.9.4 |
2025-04-20 source/ R- | OneStep_0.9.4.tar.gz |
22.7 KiB |