Package: BRDT 0.1.0
BRDT: Binomial Reliability Demonstration Tests
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) <doi:10.1080/08982112.2020.1757703>.
Authors:
BRDT_0.1.0.tar.gz
BRDT_0.1.0.zip(r-4.5)BRDT_0.1.0.zip(r-4.4)BRDT_0.1.0.zip(r-4.3)
BRDT_0.1.0.tgz(r-4.4-any)BRDT_0.1.0.tgz(r-4.3-any)
BRDT_0.1.0.tar.gz(r-4.5-noble)BRDT_0.1.0.tar.gz(r-4.4-noble)
BRDT_0.1.0.tgz(r-4.4-emscripten)BRDT_0.1.0.tgz(r-4.3-emscripten)
BRDT.pdf |BRDT.html✨
BRDT/json (API)
NEWS
| # Install 'BRDT' in R: |
| install.packages('BRDT', repos = c('https://ericchen12377.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/ericchen12377/brdt/issues
Last updated 4 years agofrom:ab19433c7f. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 17 2024 |
| R-4.5-win | OK | Sep 17 2024 |
| R-4.5-linux | OK | Sep 17 2024 |
| R-4.4-win | OK | Sep 17 2024 |
| R-4.4-mac | OK | Sep 17 2024 |
| R-4.3-win | OK | Sep 17 2024 |
| R-4.3-mac | OK | Sep 17 2024 |
Exports:bacceptprobbconsumerriskbcorebcost_expectedbcost_RDTbcost_RGbcost_WSbdata_generatorbIndicatorboptimal_costboptimal_npi_MCSim_beta
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Acceptance Probability for Binomial RDT | bacceptprob |
| Consumer's Risk for Binomial RDT | bconsumerrisk |
| Probability Core for Binomial RDT | bcore |
| Expected Overall Costs in Binomial RDT Design | bcost_expected |
| Binomial RDT Cost | bcost_RDT |
| Reliability Growth Cost | bcost_RG |
| Warranty Services Cost | bcost_WS |
| Data Generation Function for Binomial RDT Design | bdata_generator |
| Binary Indicator for Binomial RDT | bIndicator |
| Optimal Test Plans with Minimum Expected Overall Costs in Binomial RDT Design | boptimal_cost |
| Optimal Test Sample Size for Binomial RDT | boptimal_n |
| Beta Prior Simulation for Binomial RDT | pi_MCSim_beta |
