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

Documentation:

Reference manual:

bccp.pdf

Downloads:

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-oldrel (arm64): bccp_0.5.0.tgz, r-release (x86_64): bccp_0.5.0.tgz, r-oldrel (x86_64): bccp_0.5.0.tgz
Old sources:	bccp archive

Linking:

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