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bccp  

Bias Correction under Censoring Plan
View on CRAN: Click here


Download and install bccp package within the R console
Install from CRAN:
install.packages("bccp")

Install from Github:
library("remotes")
install_github("cran/bccp")

Install by package version:
library("remotes")
install_version("bccp", "0.5.0")



Attach the package and use:
library("bccp")
Maintained by
Mahdi Teimouri
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-10-26
Latest Update: 2021-05-18
Description:
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) and bootstrap method for computing the bias-corrected maximum likelihood estimator.
How to cite:
Mahdi Teimouri (2020). bccp: Bias Correction under Censoring Plan. R package version 0.5.0, https://cran.r-project.org/web/packages/bccp. Accessed 29 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:21), 0.1.0 (2020-10-26 11:20), 0.3.0 (2021-02-02 08:40)
Other packages that cited bccp R package
View bccp citation profile
Other R packages that bccp depends, imports, suggests or enhances
Complete documentation for bccp
Functions, R codes and Examples using the bccp R package
Some associated functions: bootbctype1 . bootbctype2 . coxbctype1 . coxbctype2 . fitype1 . fitype2 . goftype1 . goftype2 . mletype1 . mletype2 . plasma . relief . rtype1 . rtype2 . simpson . welcome . 
Some associated R codes: bccp.R . logo.R .  Full bccp package functions and examples
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