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BRDT
View on CRAN: Click
here
Download and install BRDT package within the R console
Install from CRAN:
install.packages("BRDT")
Install from Github:
library("remotes")
install_github("cran/BRDT") Install by package version:
library("remotes")
install_version("BRDT", "0.1.0") Attach the package and use:
library("BRDT")
Maintained by
Suiyao Chen
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-06-09
Latest Update: 2020-06-09
Description:
This is an implementation of design methods for binomial reliability demonstration tests (BRDTs) with failure count data.
The acceptance decision uncertainty of BRDT has been quantified and the impacts of the uncertainty on related reliability assurance activities such as reliability growth (RG) and warranty services (WS) are evaluated.
This package is associated with the work from the published paper "Optimal Binomial Reliability Demonstration Tests Design under Acceptance Decision Uncertainty" by Suiyao Chen et al. (2020) .
How to cite:
Suiyao Chen (2020). BRDT: Binomial Reliability Demonstration Tests. R package version 0.1.0, https://cran.r-project.org/web/packages/BRDT. Accessed 08 Mar. 2026.
Previous versions and publish date:
No previous versions
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View BRDT citation profile
Other R packages that BRDT depends,
imports, suggests or enhances
Complete documentation for BRDT
Functions, R codes and Examples using
the BRDT R package
Some associated functions: bIndicator . bacceptprob . bconsumerrisk . bcore . bcost_RDT . bcost_RG . bcost_WS . bcost_expected . bdata_generator . boptimal_cost . boptimal_n . pi_MCSim_beta .
Some associated R codes: bIndicator.R . bacceptprob.R . bconsumerrisk.R . bcore.R . bcost_RDT.R . bcost_RG.R . bcost_WS.R . bcost_expected.R . bdata_generator.R . boptimal_cost.R . boptimal_n.R . pi_MCSim_beta.R . Full BRDT package functions and examples
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