Package: ambs 0.1.0
Zhexuan Yang
ambs: Bayesian Alpha-Mixture Survival Models
Implements Bayesian estimation for alpha-mixture survival models with right-censored data. Weibull-Weibull, Gamma-Weibull, and Lognormal-Lognormal component specifications are supported, with all component parameters treated as unknown. The package provides identifiability handling, adaptive Markov chain Monte Carlo sampling, convergence diagnostics, model comparison criteria, and posterior survival, hazard, and density estimation. The methodology extends the framework described by Luan et al. (2026) <doi:10.3390/math14101772>. Danish Ezwan, David Goldberg, and Ting Huang contributed equally to the package.
Authors:
ambs_0.1.0.tar.gz
ambs_0.1.0.zip(r-4.7-any)ambs_0.1.0.zip(r-4.6-any)
ambs_0.1.0.tar.gz(r-4.7-any)ambs_0.1.0.tar.gz(r-4.6-any)
ambs_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
ambs/json (API)
| # Install 'ambs' in R: |
| install.packages('ambs', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- veteran_alpmix - Veterans' Administration Lung Cancer Trial Data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:0a5ab095de. Checks:6 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 107 | ||
| source / vignettes | OK | 187 | ||
| linux-release | OK | 100 | ||
| windows-devel | OK | 81 | ||
| windows-release | OK | 93 | ||
| wasm-release | OK | 72 |
Exports:alpmixsurvgetcurvemcmcdiagplotmcmc
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Fit a Bayesian Alpha-Mixture Survival Model | alpmixsurv |
| Plot a Fitted Alpha-Mixture Curve | getcurve |
| Run Multi-Chain Diagnostics for an Alpha-Mixture Fit | mcmcdiag |
| Plot Posterior Samples | plotmcmc |
| Veterans' Administration Lung Cancer Trial Data | veteran_alpmix |