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:Mahdi Teimouri

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'))

Peer review:

Datasets:
  • plasma - Plasma survival data
  • relief - Wingo's pain relief data

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

14 exports 0.00 score 1 dependencies 259 downloads

Last updated 3 years agofrom:197450e9e6. Checks:OK: 3 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 24 2024
R-4.5-winNOTEAug 24 2024
R-4.5-linuxNOTEAug 24 2024
R-4.4-winNOTEAug 24 2024
R-4.4-macNOTEAug 24 2024
R-4.3-winOKAug 24 2024
R-4.3-macOKAug 24 2024

Exports:bootbctype1bootbctype2coxbctype1coxbctype2fitype1fitype2goftype1goftype2mletype1mletype2rtype1rtype2simpsonwelcome

Dependencies:pracma