Package: bccp 0.5.0
bccp: Bias Correction under Censoring Plan
Developed for the following tasks. Simulating, computing maximum likelihood estimator, computing the Fisher information matrix, computing goodness-of-fit measures, and correcting bias of the ML estimator for a wide range of distributions fitted to units placed on progressive type-I interval censoring and progressive type-II censoring plans. The methods of Cox and Snell (1968) <doi:10.1111/j.2517-6161.1968.tb00724.x> and bootstrap method for computing the bias-corrected maximum likelihood estimator.
Authors:
bccp_0.5.0.tar.gz
bccp_0.5.0.zip(r-4.5)bccp_0.5.0.zip(r-4.4)bccp_0.5.0.zip(r-4.3)
bccp_0.5.0.tgz(r-4.4-any)bccp_0.5.0.tgz(r-4.3-any)
bccp_0.5.0.tar.gz(r-4.5-noble)bccp_0.5.0.tar.gz(r-4.4-noble)
bccp_0.5.0.tgz(r-4.4-emscripten)bccp_0.5.0.tgz(r-4.3-emscripten)
bccp.pdf |bccp.html✨
bccp/json (API)
# Install 'bccp' in R: |
install.packages('bccp', repos = c('https://mahditeimouri.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 4 years agofrom:197450e9e6. Checks:OK: 3 NOTE: 4. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 22 2024 |
R-4.5-win | NOTE | Nov 22 2024 |
R-4.5-linux | NOTE | Nov 22 2024 |
R-4.4-win | NOTE | Nov 22 2024 |
R-4.4-mac | NOTE | Nov 22 2024 |
R-4.3-win | OK | Nov 22 2024 |
R-4.3-mac | OK | Nov 22 2024 |
Exports:bootbctype1bootbctype2coxbctype1coxbctype2fitype1fitype2goftype1goftype2mletype1mletype2rtype1rtype2simpsonwelcome
Dependencies:pracma