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Implements Bayesian estimation and inference for alpha-mixture survival models, including Weibull and Exponential based components, with tools for simulation and posterior summaries. The methods target applications in reliability and biomedical survival analysis. The package implements Bayesian estimation for the alpha-mixture methodology introduced in Asadi et al. (2019) <doi:10.1017/jpr.2019.72>.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | MCMCpack, stats, utils, gtools |
| Suggests: | testthat (≥ 3.0.0) |
| Published: | 2025-10-22 |
| DOI: | 10.32614/CRAN.package.alpmixBayes (may not be active yet) |
| Author: | Feng Luan [aut, cre], Zhexuan Yang [aut], Duchwan Ryu [aut] |
| Maintainer: | Feng Luan <fluan1 at niu.edu> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | alpmixBayes results |
| Reference manual: | alpmixBayes.html , alpmixBayes.pdf |
| Package source: | alpmixBayes_0.1.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): alpmixBayes_0.1.0.tgz, r-oldrel (arm64): alpmixBayes_0.1.0.tgz, r-release (x86_64): alpmixBayes_0.1.0.tgz, r-oldrel (x86_64): alpmixBayes_0.1.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.