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.

Version: 0.5.0
Depends: R (≥ 3.1.0)
Imports: pracma
Published: 2021-05-18
Author: Mahdi Teimouri
Maintainer: Mahdi Teimouri <teimouri at aut.ac.ir>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: bccp results

Downloads:

Reference manual: bccp.pdf
Package source: bccp_0.5.0.tar.gz
Windows binaries: r-devel: bccp_0.5.0.zip, r-release: bccp_0.5.0.zip, r-oldrel: bccp_0.5.0.zip
macOS binaries: r-release (arm64): bccp_0.5.0.tgz, r-release (x86_64): bccp_0.5.0.tgz, r-oldrel: bccp_0.5.0.tgz
Old sources: bccp archive

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