Package: OneStep 0.9.4
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>.
Authors:
OneStep_0.9.4.tar.gz
OneStep_0.9.4.zip(r-4.7-any)OneStep_0.9.4.zip(r-4.6-any)OneStep_0.9.4.zip(r-4.5-any)
OneStep_0.9.4.tgz(r-4.6-any)OneStep_0.9.4.tgz(r-4.5-any)
OneStep_0.9.4.tar.gz(r-4.7-any)OneStep_0.9.4.tar.gz(r-4.6-any)
OneStep_0.9.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
OneStep/json (API)
| # Install 'OneStep' in R: |
| install.packages('OneStep', repos = c('https://dutangc.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:42fd01175d. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 131 | ||
| source / vignettes | OK | 140 | ||
| linux-release | OK | 119 | ||
| macos-release | OK | 141 | ||
| macos-oldrel | OK | 123 | ||
| windows-devel | OK | 113 | ||
| windows-release | OK | 93 | ||
| windows-oldrel | OK | 103 | ||
| wasm-release | OK | 85 |
Exports:benchonestepbenchonestep.replicateonestep
Dependencies:extraDistrfitdistrpluslatticeMASSMatrixnumDerivRcppRcppArmadillorlangsurvival
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| One-Step Estimation | OneStep-package OneStep |
| Performing benchmark of one-step MLE against other methods | benchonestep benchonestep.replicate |
| Executing Le Cam's one-step estimation | onestep |