bccp: an R package for life-testing and survival analysis

Mahdi Teimouri ()
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Mahdi Teimouri: Gonbad Kavous University

Computational Statistics, 2022, vol. 37, issue 1, No 20, 469-489

Abstract: Abstract The progressive type-I interval censoring and progressive type-II censoring plans are among the most commonly used censoring mechanisms in life-testing and survival analysis. In this work, we introduce an R package bccp, that is a useful tool for users in the field of reliability and survival analysis. The package bccp has been developed for simulating, computing maximum likelihood (ML) estimator, computing the expected and observed Fisher information matrices, computing goodness-of-fit measures, and correcting bias of the ML estimator for a wide range of distributions fitted to subjects under above two plans. The performance of the bccp is checked by two real examples. The bccp has been uploaded to comprehensive R archive network (CRAN) at https://cran.r-project.org/web/packages/bccp/index.html.

Keywords: Bias correction; Bootstrap; R package; Survival analysis (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s00180-021-01129-9

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