Package: OBRE 0.2-0

Fabio Piacenza
OBRE: Optimal B-Robust Estimator Tools
An implementation for computing Optimal B-Robust Estimators of two-parameter distribution. The procedure is composed of some equations that are evaluated alternatively until the solution is reached. Some tools for analyzing the estimates are included. The most relevant is covariance matrix computation using a closed formula.
Authors:
OBRE_0.2-0.tar.gz
OBRE_0.2-0.tar.gz(r-4.5-noble)OBRE_0.2-0.tar.gz(r-4.4-noble)
OBRE_0.2-0.tgz(r-4.4-emscripten)OBRE_0.2-0.tgz(r-4.3-emscripten)
OBRE.pdf |OBRE.html✨
OBRE/json (API)
# Install 'OBRE' in R: |
install.packages('OBRE', repos = '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 2 years agofrom:0cf4e70529. Checks:3 OK. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Mar 30 2025 |
R-4.5-linux | OK | Mar 30 2025 |
R-4.4-linux | OK | Mar 30 2025 |
Exports:densityExpressionsOBREOBRECovarianceMatrixsummary
Dependencies:pracma
Citation
To cite package ‘OBRE’ in publications use:
Riboldi A, Danesi I, Piacenza F, Kuehnle O, Di Vincenzo D (2023). OBRE: Optimal B-Robust Estimator Tools. R package version 0.2-0, https://CRAN.R-project.org/package=OBRE.
Corresponding BibTeX entry:
@Manual{, title = {OBRE: Optimal B-Robust Estimator Tools}, author = {Andrea Riboldi and Ivan Luciano Danesi and Fabio Piacenza and Oliver Kuehnle and Davide {Di Vincenzo}}, year = {2023}, note = {R package version 0.2-0}, url = {https://CRAN.R-project.org/package=OBRE}, }